<!DOCTYPE html><html lang="en"> <head> <meta charset="utf-8"><meta http-equiv="x-ua-compatible" content="ie=edge"><meta name="viewport" content="width=device-width, initial-scale=1"> <title>Best Data Science Course With Placement Guarantee</title><meta name="description" content="We at DataTrained Provide the Best Online Data Science Course With Placement Guarantee in India. Enroll In DataTrained's Online PG Data Science Program."/><meta name="keywords" content="data science program, data science program online, data science programs near me, best online data science programs, data science program institute, data science programs with placement"/><link rel="canonical" href="https://www.datatrained.com/data-science-program"/> <!-- Facebook Pixel Code --> <script defer> !function(f,b,e,v,n,t,s) {if(f.fbq)return;n=f.fbq=function(){n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments)}; if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)}(window, document,'script', 'https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '1015748168774311'); fbq('track', 'PageView'); </script> <noscript><img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=1015748168774311&ev=PageView&noscript=1" /></noscript> <!-- End Facebook Pixel Code --> <!-- Google Tag Manager --><script defer>(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-T8DK4KD');</script><!-- End Google Tag Manager --> <!-- OG Tags for Social --><meta name="language" content="en-us"/><meta property="og:type" content="website" /><meta property="og:site_name" content="DataTrained" /><meta property="og:title" content="Best Data Science Program in India With Placement Guaranteed" /><meta property="og:description" content="We at DataTrained Provide the Best Online Data Science Program With a 100% Placement guarantee. Enrol Today In DataTrained's Online PG Data Science Program"/><meta property="og:url" content="https://www.datatrained.com/data-science-program" /><meta property="og:image" content="https://www.datatrained.com/images/courses/thumbnails/293.avif" /><meta property="og:image:type" content="image/png" /><meta property="og:image:alt" content="data science course , data science course online, data science programs near me, best online data science programs, data science program institute, data science programs with placement"/><meta name="twitter:card" content="summary"/><meta name="twitter:description" content="We at DataTrained Provide the Best Online Data Science Course With a 100% Placement guarantee. Enrol Today In DataTrained's Online PG Data Science Program"/><meta name="twitter:title" content="Best Data Science in India With Placement Guaranteed"/><meta name="twitter:image" content="https://www.datatrained.com/images/courses/thumbnails/293.avif"/><meta name="twitter:site" content="DataTrained"/> <!-- FAQ Schema --><script type="application/ld+json">{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Is coding required for Data Science training?","acceptedAnswer":{"@type":"Answer","text":"Yes, Data science does require basic coding skills although, you don’t need to be an advanced coder. In some cases, you don’t even write a single code since there are so many interfaces like google AutoML. Python, which is the most popular programming in the world of data science. Learning the Python language is like learning the English language. \n\nAnother benefit of python is that there are already libraries available which mean you don’t need to write codes. Therefore, during data science training, the focus will be on learning data science concepts, applications and projects. You don’t have to worry about coding. Our program does provide all the necessary skills required for data science like the basics of python. "}},{"@type":"Question","name":"Is data science a good career?","acceptedAnswer":{"@type":"Answer","text":"Yes, Data science is a good career. Data science is a buzzword now. Harvard Business declared data scientist as the sexiest job of the 21st century. The Data science sector grew 650% since 2012 and the future is even better since data has surpassed oil in value. The US Bureau of Labor Statistics forecasted that demand for data science skills will increase by 27.9% by 2026. The benefits of a career in data science are -\nHigh Demand for Data Scientists \nLess Competition \nHigh Pay \nOpportunities for Growth \nVariety of job roles \nThe future is bright and promising in the data science career. Get this opportunity and be future-ready with our data science online course. "}},{"@type":"Question","name":"Can I become a data scientist with an online course?","acceptedAnswer":{"@type":"Answer","text":"Yes, you can become a data scientist with an online course. It’s easier to learn data science online since the only thing required is a computer. Other advantages of the online course are:\n\nFlexible Timing \nAffordability \nAbility to advance a career\nAbility to learn at your own pace\nLess commute \n\nThese are a few benefits of a data science online course. Also, our data science course provides 300+ hours of content, 80+ hours of live sessions and more than 15 tools & software. You’ll get to learn from industry professionals so that you can understand the application and clear your doubts. 6 Months internship ensures you graduate as an experienced data science professional rather than a fresher. Therefore, Yes, you can become a data scientist with an online course."}},{"@type":"Question","name":"What is the Data Science course fee?","acceptedAnswer":{"@type":"Answer","text":"We offer the data science course at an affordable price of INR 1,40,000. There is also an option for no cost EMI. Our mission is to provide quality education at an affordable cost with the best of counselling sessions and industry interface. \n\nWe look forward to seeing our students getting placed as data scientists and fulfilling their ambition. It’s our responsibility to make data science training affordable. For more information and counselling, please contact us. We’d love to hear from you.\n"}},{"@type":"Question","name":"How do you place placement in data science?","acceptedAnswer":{"@type":"Answer","text":"We have more than 400+ hiring partners across the globe and we organize campus placements every three months across India. We gave what we promised and we placed 350 students in just 15 days. Here is an article published in Hindustan times related to the placements of our students and we’re very proud of it CLICK HERE…\n\nAlong with data science courses, we dedicate career assistance to our students \nRegular mock HR and technical interviews with personal guidance \nResume preparation kit from IIMJobs \nPersonal feedback on the resume by HR industry experts\n6 months internship ensures you gain experience \n\nWe have transformed more than 5000 careers. For more information, you can contact us. "}},{"@type":"Question","name":"Why is this data science course best for placement?","acceptedAnswer":{"@type":"Answer","text":"This data science course is best for placement because this program is developed with Data scientists from IBM and industry experts working in the data science domain for decades. It covers all theoretical and practical aspects of data science from basic to advanced. \n\nThis data science online course provides a 6 months live internship so that you’ll be industry-ready. This course comes with 100% placement guaranteed so you don’t have to worry about placement. The performance of students in the form of scores is sent to our 400+ recruiting partner organization. We furthermore conduct campus placement every three months."}},{"@type":"Question","name":"What training does a data scientist need?","acceptedAnswer":{"@type":"Answer","text":"Data scientist is a profession and like other professions, the same process is being followed. Therefore, you won’t need to do anything else. When you enrol in this course, we will take care of everything such as\nCareer Assistance \nInterview preparation \n6 months internship \nOne-on-one with industry mentors\n40+ projects and case studies\nWe will make sure that you are industry-ready, and cherry on top we provide the data science course with a job guarantee. So join us and start building your own new career. For more information, please contact us, we’d love to hear from you."}},{"@type":"Question","name":"Is there any data science course with a job guarantee?","acceptedAnswer":{"@type":"Answer","text":"We offer the data science course with a job guarantee. PG programs in data science, machine learning & natural networks are one of them. We promise a 100% placement or money-back guarantee. In fact, we set a record of more than 50% of MBA students getting hired within 5 days. The highest salary offered was 17 lacs per annum.\n\nDataTrained is the only institute where you can expect to get placed and start working at the end of the year. If you have further questions, Please contact us. We’d love to help you and answer any questions or queries you may have. "}},{"@type":"Question","name":"What is the best data science course in India?","acceptedAnswer":{"@type":"Answer","text":"PG Program in data science, machine learning & natural networks is the best data science course in India. Our mission is to provide quality education at an affordable cost with the best of counselling sessions and industry interface. \n\nOur course has a comprehensive curriculum and It has been designed by faculty from IITs, IBM and Expert industry professionals. You’ll get to learn through real-life industry projects sponsored by top companies across industries. Along with the data science course, you’ll get extra benefits of \nLive Internship \nResume Feedback \nInterview Preparation \nGuaranteed Placement \nFor any further information, please contact us. We’d love to hear from you and help you."}},{"@type":"Question","name":"Which is the best online course for data science?","acceptedAnswer":{"@type":"Answer","text":"PG program in data science, machine learning & natural networks is the best online course for data science. This data science course covers all theoretical and practical aspects of data science from basic to advanced. Essential languages & tools are covered in this course such as \nExcel \nPython \nTableau \nNLP \nMicrosoft SQL Server \nPower BI \nAlso, you’ll have the option to select an elective course according to your taste and preferences. \nIf you have more questions or want to counsel, please contact us through call, WhatsApp or email. We’d love to help and guide you. 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<div class="get-start"> <div class="software-tech"> <div class="course-name">Data Science</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active " href="#data-science-micro-degree" aria-controls="data-science-micro-degree" role="tab" data-toggle="tab">Micro Degree</a> </li> <li class="nav-item"> <a class="nav-link " href="#data-science-certificate-program" aria-controls="data-science-certificate-program" role="tab" data-toggle="tab">Certificate Program</a> </li> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active " id="data-science-micro-degree"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Micro Degree" title="Micro Degree">Micro Degree</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/data-science-program"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/courses/nasscom.avif" class="lazyload" alt="PG Program in Data Science, Machine Learning & Neural Networks" title="PG Program in Data Science, Machine Learning & Neural Networks"> </div> <div class="content"> <div class="coursename">PG Program in Data Science, Machine Learning & Neural Networks</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>12 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Data Science, Machine Learning & Neural Networks" title="PG Program in Data Science, Machine Learning & Neural Networks"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Data Science, Machine Learning & Neural Networks" title="PG Program in Data Science, Machine Learning & Neural Networks"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Data Science, Machine Learning & Neural Networks" title="PG Program in Data Science, Machine Learning & Neural Networks"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Data Science, Machine Learning & Neural Networks" title="PG Program in Data Science, Machine Learning & Neural Networks"></li> </ul> 8500+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/applied-data-science-with-python"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Applied Data Science with Python" title="Applied Data Science with Python"> </div> <div class="content"> <div class="coursename">Applied Data Science with Python</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>5 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Applied Data Science with Python" title="Applied Data Science with Python"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Applied Data Science with Python" title="Applied Data Science with Python"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Applied Data Science with Python" title="Applied Data Science with Python"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Applied Data Science with Python" title="Applied Data Science with Python"></li> </ul> 10000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-machine-learning"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program In Machine Learning" title="PG Program In Machine Learning"> </div> <div class="content"> <div class="coursename">PG Program In Machine Learning</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>6 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program In Machine Learning" title="PG Program In Machine Learning"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program In Machine Learning" title="PG Program In Machine Learning"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program In Machine Learning" title="PG Program In Machine Learning"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program In Machine Learning" title="PG Program In Machine Learning"></li> </ul> 16000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-machine-learning-and-artificial-intelligence"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program In Machine Learning And Artificial Intelligence" title="PG Program In Machine Learning And Artificial Intelligence"> </div> <div class="content"> <div class="coursename">PG Program In Machine Learning And Artificial Intelligence</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>10 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program In Machine Learning And Artificial Intelligence" title="PG Program In Machine Learning And Artificial Intelligence"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program In Machine Learning And Artificial Intelligence" title="PG Program In Machine Learning And Artificial Intelligence"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program In Machine Learning And Artificial Intelligence" title="PG Program In Machine Learning And Artificial Intelligence"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program In Machine Learning And Artificial Intelligence" title="PG Program In Machine Learning And Artificial Intelligence"></li> </ul> 20000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-machine-learning-and-natural-language-processing"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program in Machine Learning and Natural Language Processing (NLP)" title="PG Program in Machine Learning and Natural Language Processing (NLP)"> </div> <div class="content"> <div class="coursename">PG Program in Machine Learning and Natural Language Processing (NLP)</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>8 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Machine Learning and Natural Language Processing (NLP)" title="PG Program in Machine Learning and Natural Language Processing (NLP)"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Machine Learning and Natural Language Processing (NLP)" title="PG Program in Machine Learning and Natural Language Processing (NLP)"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Machine Learning and Natural Language Processing (NLP)" title="PG Program in Machine Learning and Natural Language Processing (NLP)"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Machine Learning and Natural Language Processing (NLP)" title="PG Program in Machine Learning and Natural Language Processing (NLP)"></li> </ul> 10000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-machine-learning-and-deep-learning"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program in Machine Learning and Deep Learning" title="PG Program in Machine Learning and Deep Learning"> </div> <div class="content"> <div class="coursename">PG Program in Machine Learning and Deep Learning</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>8 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Machine Learning and Deep Learning" title="PG Program in Machine Learning and Deep Learning"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Machine Learning and Deep Learning" title="PG Program in Machine Learning and Deep Learning"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Machine Learning and Deep Learning" title="PG Program in Machine Learning and Deep Learning"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Machine Learning and Deep Learning" title="PG Program in Machine Learning and Deep Learning"></li> </ul> 12000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-data-analytics"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program in Data Analytics" title="PG Program in Data Analytics"> </div> <div class="content"> <div class="coursename">PG Program in Data Analytics</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>8 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Data Analytics" title="PG Program in Data Analytics"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Data Analytics" title="PG Program in Data Analytics"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Data Analytics" title="PG Program in Data Analytics"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Data Analytics" title="PG Program in Data Analytics"></li> </ul> 11500+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/advanced-pg-program-in-data-analytics"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Advanced PG Program in Data Analytics" title="Advanced PG Program in Data Analytics"> </div> <div class="content"> <div class="coursename">Advanced PG Program in Data Analytics</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>9 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Advanced PG Program in Data Analytics" title="Advanced PG Program in Data Analytics"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Advanced PG Program in Data Analytics" title="Advanced PG Program in Data Analytics"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Advanced PG Program in Data Analytics" title="Advanced PG Program in Data Analytics"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Advanced PG Program in Data Analytics" title="Advanced PG Program in Data Analytics"></li> </ul> 8000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-business-analytics"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program in Business Analytics" title="PG Program in Business Analytics"> </div> <div class="content"> <div class="coursename">PG Program in Business Analytics</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>5 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Business Analytics" title="PG Program in Business Analytics"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Business Analytics" title="PG Program in Business Analytics"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Business Analytics" title="PG Program in Business Analytics"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Business Analytics" title="PG Program in Business Analytics"></li> </ul> 13000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade " id="data-science-certificate-program"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Certificate Program" title="Certificate Program">Certificate Program</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/business-analytics-with-tableau"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Business Analytics with Tableau" title="Business Analytics with Tableau"> </div> <div class="content"> <div class="coursename">Business Analytics with Tableau</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>4 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Business Analytics with Tableau" title="Business Analytics with Tableau"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Business Analytics with Tableau" title="Business Analytics with Tableau"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Business Analytics with Tableau" title="Business Analytics with Tableau"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Business Analytics with Tableau" title="Business Analytics with Tableau"></li> </ul> 800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/sas-programming-beginner-to-advanced"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="SAS Programming Beginner to Advanced" title="SAS Programming Beginner to Advanced"> </div> <div class="content"> <div class="coursename">SAS Programming Beginner to Advanced</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>4 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="SAS Programming Beginner to Advanced" title="SAS Programming Beginner to Advanced"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="SAS Programming Beginner to Advanced" title="SAS Programming Beginner to Advanced"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="SAS Programming Beginner to Advanced" title="SAS Programming Beginner to Advanced"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="SAS Programming Beginner to Advanced" title="SAS Programming Beginner to Advanced"></li> </ul> 1800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/natural-language-processing-machine-learning-nlp-in-python"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Natural Language Processing: Machine Learning NLP In Python" title="Natural Language Processing: Machine Learning NLP In Python"> </div> <div class="content"> <div class="coursename">Natural Language Processing: Machine Learning NLP In Python</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>4 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Natural Language Processing: Machine Learning NLP In Python" title="Natural Language Processing: Machine Learning NLP In Python"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Natural Language Processing: Machine Learning NLP In Python" title="Natural Language Processing: Machine Learning NLP In Python"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Natural Language Processing: Machine Learning NLP In Python" title="Natural Language Processing: Machine Learning NLP In Python"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Natural Language Processing: Machine Learning NLP In Python" title="Natural Language Processing: Machine Learning NLP In Python"></li> </ul> 800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/deep-natural-language-processing-in-python"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Deep Natural Language Processing (Deep NLP)" title="Deep Natural Language Processing (Deep NLP)"> </div> <div class="content"> <div class="coursename">Deep Natural Language Processing (Deep NLP)</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>3 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Deep Natural Language Processing (Deep NLP)" title="Deep Natural Language Processing (Deep NLP)"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Deep Natural Language Processing (Deep NLP)" title="Deep Natural Language Processing (Deep NLP)"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Deep Natural Language Processing (Deep NLP)" title="Deep Natural Language Processing (Deep NLP)"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Deep Natural Language Processing (Deep NLP)" title="Deep Natural Language Processing (Deep NLP)"></li> </ul> 1100+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/deep-learning-and-neural-networks-with-computer-vision"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Deep Learning and Neural Networks with Computer Vision" title="Deep Learning and Neural Networks with Computer Vision"> </div> <div class="content"> <div class="coursename">Deep Learning and Neural Networks with Computer Vision</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>3 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Deep Learning and Neural Networks with Computer Vision" title="Deep Learning and Neural Networks with Computer Vision"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Deep Learning and Neural Networks with Computer Vision" title="Deep Learning and Neural Networks with Computer Vision"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Deep Learning and Neural Networks with Computer Vision" title="Deep Learning and Neural Networks with Computer Vision"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Deep Learning and Neural Networks with Computer Vision" title="Deep Learning and Neural Networks with Computer Vision"></li> </ul> 900+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/certificate-program-in-tableau"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Certificate Program in Tableau" title="Certificate Program in Tableau"> </div> <div class="content"> <div class="coursename">Certificate Program in Tableau</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>3 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Certificate Program in Tableau" title="Certificate Program in Tableau"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Certificate Program in Tableau" title="Certificate Program in Tableau"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Certificate Program in Tableau" title="Certificate Program in Tableau"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Certificate Program in Tableau" title="Certificate Program in Tableau"></li> </ul> 1700+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/certificate-program-in-microsoft-power-bi"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip16.avif" class="lazyload" alt="Certificate Program in Microsoft Power BI" title="Certificate Program in Microsoft Power BI"> </div> <div class="content"> <div class="coursename">Certificate Program in Microsoft Power BI</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>3 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Certificate Program in Microsoft Power BI" title="Certificate Program in Microsoft Power BI"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Certificate Program in Microsoft Power BI" title="Certificate Program in Microsoft Power BI"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Certificate Program in Microsoft Power BI" title="Certificate Program in Microsoft Power BI"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Certificate Program in Microsoft Power BI" title="Certificate Program in Microsoft Power BI"></li> </ul> 1300+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/complete-time-series-analysis-using-python"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Complete Time Series Analysis using Python" title="Complete Time Series Analysis using Python"> </div> <div class="content"> <div class="coursename">Complete Time Series Analysis using Python</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>3 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Complete Time Series Analysis using Python" title="Complete Time Series Analysis using Python"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Complete Time Series Analysis using Python" title="Complete Time Series Analysis using Python"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Complete Time Series Analysis using Python" title="Complete Time Series Analysis using Python"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Complete Time Series Analysis using Python" title="Complete Time Series Analysis using Python"></li> </ul> 1000+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/applied-data-science-with-r"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Applied Data Science with R" title="Applied Data Science with R"> </div> <div class="content"> <div class="coursename">Applied Data Science with R</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>6 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Applied Data Science with R" title="Applied Data Science with R"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Applied Data Science with R" title="Applied Data Science with R"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Applied Data Science with R" title="Applied Data Science with R"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Applied Data Science with R" title="Applied Data Science with R"></li> </ul> 300+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/machine-learning-with-r"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Machine learning with R" title="Machine learning with R"> </div> <div class="content"> <div class="coursename">Machine learning with R</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>6 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Machine learning with R" title="Machine learning with R"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Machine learning with R" title="Machine learning with R"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Machine learning with R" title="Machine learning with R"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Machine learning with R" title="Machine learning with R"></li> </ul> 450+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/scala-programming-for-data-science-in-collaboration-with-ibm"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Scala Programming for Data Science" title="Scala Programming for Data Science"> </div> <div class="content"> <div class="coursename">Scala Programming for Data Science</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>4 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Scala Programming for Data Science" title="Scala Programming for Data Science"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Scala Programming for Data Science" title="Scala Programming for Data Science"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Scala Programming for Data Science" title="Scala Programming for Data Science"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Scala Programming for Data Science" title="Scala Programming for Data Science"></li> </ul> 1200+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/data-science-foundation"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Data Science Foundation" title="Data Science Foundation"> </div> <div class="content"> <div class="coursename">Data Science Foundation</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>4 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Data Science Foundation" title="Data Science Foundation"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Data Science Foundation" title="Data Science Foundation"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Data Science Foundation" title="Data Science Foundation"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Data Science Foundation" title="Data Science Foundation"></li> </ul> 800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="software-development" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Software Development</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active " href="#software-development-micro-degree" aria-controls="software-development-micro-degree" role="tab" data-toggle="tab">Micro Degree</a> </li> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active " id="software-development-micro-degree"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Micro Degree" title="Micro Degree">Micro Degree</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/full-stack-development"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip8.avif" class="lazyload" alt="PG Program in Full Stack Development Engineering" title="PG Program in Full Stack Development Engineering"> </div> <div class="content"> <div class="coursename">PG Program in Full Stack Development Engineering</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>12 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Full Stack Development Engineering" title="PG Program in Full Stack Development Engineering"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Full Stack Development Engineering" title="PG Program in Full Stack Development Engineering"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Full Stack Development Engineering" title="PG Program in Full Stack Development Engineering"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Full Stack Development Engineering" title="PG Program in Full Stack Development Engineering"></li> </ul> 8500+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/blockchain-for-developers-in-collaboration-with-ibm"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip7.avif" class="lazyload" alt="PG Program in Blockchain Development" title="PG Program in Blockchain Development"> </div> <div class="content"> <div class="coursename">PG Program in Blockchain Development</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>6 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Blockchain Development" title="PG Program in Blockchain Development"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Blockchain Development" title="PG Program in Blockchain Development"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Blockchain Development" title="PG Program in Blockchain Development"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Blockchain Development" title="PG Program in Blockchain Development"></li> </ul> 500+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-cloud-computing"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip17.avif" class="lazyload" alt="PG Program in Cloud Computing" title="PG Program in Cloud Computing"> </div> <div class="content"> <div class="coursename">PG Program in Cloud Computing</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>10 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Cloud Computing" title="PG Program in Cloud Computing"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Cloud Computing" title="PG Program in Cloud Computing"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Cloud Computing" title="PG Program in Cloud Computing"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Cloud Computing" title="PG Program in Cloud Computing"></li> </ul> 1200+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="data-engineering" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Data Engineering</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active " href="#data-engineering-micro-degree" aria-controls="data-engineering-micro-degree" role="tab" data-toggle="tab">Micro Degree</a> </li> <li class="nav-item"> <a class="nav-link " href="#data-engineering-certificate-program" aria-controls="data-engineering-certificate-program" role="tab" data-toggle="tab">Certificate Program</a> </li> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active " id="data-engineering-micro-degree"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Micro Degree" title="Micro Degree">Micro Degree</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/big-data-hadoop-the-complete-course"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Big Data Hadoop - The Complete Course" title="Big Data Hadoop - The Complete Course"> </div> <div class="content"> <div class="coursename">Big Data Hadoop - The Complete Course</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>6 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Big Data Hadoop - The Complete Course" title="Big Data Hadoop - The Complete Course"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Big Data Hadoop - The Complete Course" title="Big Data Hadoop - The Complete Course"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Big Data Hadoop - The Complete Course" title="Big Data Hadoop - The Complete Course"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Big Data Hadoop - The Complete Course" title="Big Data Hadoop - The Complete Course"></li> </ul> 1100+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade " id="data-engineering-certificate-program"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Certificate Program" title="Certificate Program">Certificate Program</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/big-data-analytics-in-collaboration-with-ibm"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Big Data Analytics" title="Big Data Analytics"> </div> <div class="content"> <div class="coursename">Big Data Analytics</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>8 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Big Data Analytics" title="Big Data Analytics"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Big Data Analytics" title="Big Data Analytics"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Big Data Analytics" title="Big Data Analytics"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Big Data Analytics" title="Big Data Analytics"></li> </ul> 450+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/big-data-engineering-in-collaboration-with-ibm"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Big Data Engineering" title="Big Data Engineering"> </div> <div class="content"> <div class="coursename">Big Data Engineering</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>8 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Big Data Engineering" title="Big Data Engineering"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Big Data Engineering" title="Big Data Engineering"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Big Data Engineering" title="Big Data Engineering"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Big Data Engineering" title="Big Data Engineering"></li> </ul> 800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="blockchain" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Blockchain</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> </div> </div> </div> </div> </div> </div> </div> <div id="ecommerce-&-digital-marketing" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Ecommerce & Digital Marketing</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active " href="#ecommerce-&-digital-marketing-micro-degree" aria-controls="ecommerce-&-digital-marketing-micro-degree" role="tab" data-toggle="tab">Micro Degree</a> </li> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active " id="ecommerce-&-digital-marketing-micro-degree"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Micro Degree" title="Micro Degree">Micro Degree</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/certificate-program-in-ecommerce-operations-and-marketing"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program in E-Commerce and Business Analytics" title="PG Program in E-Commerce and Business Analytics"> </div> <div class="content"> <div class="coursename">PG Program in E-Commerce and Business Analytics</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>10 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in E-Commerce and Business Analytics" title="PG Program in E-Commerce and Business Analytics"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in E-Commerce and Business Analytics" title="PG Program in E-Commerce and Business Analytics"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in E-Commerce and Business Analytics" title="PG Program in E-Commerce and Business Analytics"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in E-Commerce and Business Analytics" title="PG Program in E-Commerce and Business Analytics"></li> </ul> 3500+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="cloud-computing-&-devops" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Cloud Computing & DevOps</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> </div> </div> </div> </div> </div> </div> </div> <div id="management" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Management</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active " href="#management-micro-degree" aria-controls="management-micro-degree" role="tab" data-toggle="tab">Micro Degree</a> </li> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active " id="management-micro-degree"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Micro Degree" title="Micro Degree">Micro Degree</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/investment-banking-program"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program in Investment Banking and Financial Modeling" title="PG Program in Investment Banking and Financial Modeling"> </div> <div class="content"> <div class="coursename">PG Program in Investment Banking and Financial Modeling</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>6 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program in Investment Banking and Financial Modeling" title="PG Program in Investment Banking and Financial Modeling"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program in Investment Banking and Financial Modeling" title="PG Program in Investment Banking and Financial Modeling"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program in Investment Banking and Financial Modeling" title="PG Program in Investment Banking and Financial Modeling"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program in Investment Banking and Financial Modeling" title="PG Program in Investment Banking and Financial Modeling"></li> </ul> 2200+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/pg-program-in-hr-management-and-people-analytics"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="PG Program In Human Resource Management" title="PG Program In Human Resource Management"> </div> <div class="content"> <div class="coursename">PG Program In Human Resource Management</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>10 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="PG Program In Human Resource Management" title="PG Program In Human Resource Management"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="PG Program In Human Resource Management" title="PG Program In Human Resource Management"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="PG Program In Human Resource Management" title="PG Program In Human Resource Management"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="PG Program In Human Resource Management" title="PG Program In Human Resource Management"></li> </ul> 2800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="degree-courses" class="tabcontent"> <div class="get-start"> <div class="software-tech"> <div class="course-name">Degree Courses</div> <div class="inner-section"> <div class="row"> <div class="col-lg-3"> <div class="get-strt">Get started</div> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active " href="#degree-courses-master-degree" aria-controls="degree-courses-master-degree" role="tab" data-toggle="tab">Master Degree</a> </li> </ul> </div> <div class="col-lg-9"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active " id="degree-courses-master-degree"> <div class="tab-course"><img src="https://datatrained.com/images/nav-icon.png" alt="Master Degree" title="Master Degree">Master Degree</div> <div class="row"> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/integrated-job-linked-mba-from-amity-university"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip4.avif" class="lazyload" alt="Integrated Job Linked MBA from Amity University" title="Integrated Job Linked MBA from Amity University"> </div> <div class="content"> <div class="coursename">Integrated Job Linked MBA from Amity University</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>24 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Integrated Job Linked MBA from Amity University" title="Integrated Job Linked MBA from Amity University"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Integrated Job Linked MBA from Amity University" title="Integrated Job Linked MBA from Amity University"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Integrated Job Linked MBA from Amity University" title="Integrated Job Linked MBA from Amity University"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Integrated Job Linked MBA from Amity University" title="Integrated Job Linked MBA from Amity University"></li> </ul> 2200+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/integrated-job-linked-mba-from-manipal-university"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip12.avif" class="lazyload" alt="Integrated Job Linked MBA from Manipal University" title="Integrated Job Linked MBA from Manipal University"> </div> <div class="content"> <div class="coursename">Integrated Job Linked MBA from Manipal University</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>24 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Integrated Job Linked MBA from Manipal University" title="Integrated Job Linked MBA from Manipal University"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Integrated Job Linked MBA from Manipal University" title="Integrated Job Linked MBA from Manipal University"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Integrated Job Linked MBA from Manipal University" title="Integrated Job Linked MBA from Manipal University"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Integrated Job Linked MBA from Manipal University" title="Integrated Job Linked MBA from Manipal University"></li> </ul> 800+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/integrated-job-linked-mba-from-jain-university"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip9.avif" class="lazyload" alt="Integrated Job Linked MBA 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src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Integrated Job Linked MBA from Jain University" title="Integrated Job Linked MBA from Jain University"></li> </ul> 1200+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> <div class="col-lg-6 pd-lr mb-4"> <a href="https://datatrained.com/job-linked-management-degree"> <div class="cours-box"> <div class="img"> <img src="https://datatrained.com/images/sqip19.avif" class="lazyload" alt="Job Linked Program in Management + MBA (UGC Recognized)" title="Job Linked Program in Management + MBA (UGC Recognized)"> </div> <div class="content"> <div class="coursename">Job Linked Program in Management + MBA (UGC Recognized)</div> <ol> <li class="time"><i class="fa fa-clock-o"></i>12 Months</li> <li class="students"> <ul class="student-img"> <li style="z-index:4;"><img src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Job Linked Program in Management + MBA (UGC Recognized)" title="Job Linked Program in Management + MBA (UGC Recognized)"></li> <li style="z-index:3;"><img src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Job Linked Program in Management + MBA (UGC Recognized)" title="Job Linked Program in Management + MBA (UGC Recognized)"></li> <li style="z-index:2;"><img src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Job Linked Program in Management + MBA (UGC Recognized)" title="Job Linked Program in Management + MBA (UGC Recognized)"></li> <li style="z-index:1;"><img src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Job Linked Program in Management + MBA (UGC Recognized)" title="Job Linked Program in Management + MBA (UGC Recognized)"></li> </ul> 1500+ </li> </ol> </div> <div class="arrow"> <i class="fa fa-arrow-right"></i> </div> </div> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div id="undergraduate-course" 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data-src='https://datatrained.com/images/courses/datascience/ai.avif' class="lazyload" alt="ai"> </div> </div> </div> </div> </div></section><section class="mobile-banner mobile-display"> <div class="container-fluid"> <div class="row"> <div class="col-12"> <p>Become an industry-ready Certified Data Science professional through immersive learning of Data Analysis and Visualization, ML models, Forecasting & Predicting Models, NLP, Deep Learning, and more with this Job Assistance Program </p> <div class="course-specification"> <div class="box"> <p> 17 May, 2024 </p> <span>Next Batch <br> starts on</span> </div> <div class="box"> <p>12 Months</p> <span>Recommended <br> 20-22 hrs/week</span> </div> <div class="box"> <p>6 Months</p> <span>Live <br> Internship</span> </div> <div class="box"> <p>Online</p> <span>Learning <br> Format</span> </div> <div class="box"> <p>6000+</p> <span>Career <br> Transformed</span> </div> <div class="box"> <p>950+</p> <span>Hiring <br> Partners</span> </div> 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science programs"> <p>12 Months</p> <span>Recommended 20-22 hrs/week</span> </div> <div class="date-border"> <img data-src="https://datatrained.com/images/courses/banner-icon-4.avif" class="lazyload" alt="data science programs near me"> <p style="color: #f8b700"> 17 May, 2024 </p> <span>Next Batch starts on</span> </div> <div class="date-border"> <img data-src="https://datatrained.com/images/courses/banner-icon-5.avif" class="lazyload" alt="data science program online"> <p>950+</p> <span>Hiring Partners</span> </div> </div> </div></section><section id="overview" class="program-overview new-overview"> <div class="container-fluid"> <div class="row"> <div class="col-lg-7 col-md-7"> <div class="place-heading top-heading"> <h2>Upcoming Batches</h2> </div> <h3>Next Batches</h3> <div class="cohort-box mb-4"> <div class="head"> <span>DSG0524</span> <img data-src="https://www.datatrained.com/images/courses/Limited-seats.webp" class="lazyload" alt=""> <button type="button" class="fill-btn" 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data-src="https://datatrained.com/images/courses/st-1.avif" class="lazyload" alt="Best online Data science course"></li> <li style="z-index:3;"><img data-src="https://datatrained.com/images/courses/st-2.avif" class="lazyload" alt="Best online Data science course"></li> <li style="z-index:2;"><img data-src="https://datatrained.com/images/courses/st-3.avif" class="lazyload" alt="Best online Data science course"></li> <li style="z-index:1;"><img data-src="https://datatrained.com/images/courses/st-4.avif" class="lazyload" alt="Best online Data science course"></li> </ul> 8500+ learners </li> </ol> </div> <div class="featr">Features</div> <ul class="ondemand"> <li><i class="fa fa-video-camera"></i>300+ hours of learning</li> <li><i class="fa fa-pencil"></i> Practice Test Included</li> <li><i class="fa fa-certificate"></i>Certificate of completion</li> <li><i class="fa fa-cogs"></i>5 Domain Specializations</li> </ul> <div class="buy-now-pg"> <button type="button" class="fill-btn" 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Get an Executive Certification In Data Science, Machine Learning & Neural Networks</p> </div> </div> </div> <div class="col-lg-4 col-md-6 col-12 mb-4"> <div class="whats-box"> <img data-src="https://datatrained.com/images/courses/datascience/course-2.avif" class="lazyload" alt="Dedicated Career Assistance- data science program institute"> <div class="cont"> <h4>Dedicated Career Assistance</h4> <p>Receive 1:1 career counseling sessions & mock interviews with hiring managers. Exhilarate your career with our 950+ hiring partners. </p> </div> </div> </div> <div class="col-lg-4 col-md-6 col-12 mb-4"> <div class="whats-box"> <img data-src="https://datatrained.com/images/courses/datascience/course-3.avif" class="lazyload" alt="Student Support - data science online training"> <div class="cont"> <h4>Student Support</h4> <p>Chat support for Quick Doubt Resolution is available from 06 AM to 11 PM IST. Program Managers are available on call, chat and ticket during business hours. </p> </div> </div> </div> </div> </div></section><section id="instructors" class="instructors mobile-instruct"> <div class="container-fluid"> <div class="row"> <div class="col-lg-7 col-12"> <div class="place-heading"> <h2>Instructors</h2> <p>Join DataTrained – Certified curriculum and learn every skill from the industry’s best thought leaders. </p> </div> </div> </div> <div class="row justify-content-center"> <div class="col-lg-4 col-md-6 col-12"> <div class="shadows"> <img data-src="https://datatrained.com/images/courses/datascience/Deepika.avif" class="lazyload" alt="Dr. Deepika Sharma - Training Head, DataTrained"> <h3>Dr. Deepika Sharma</h3> <span>Training Head, DataTrained</span> <p>Dr. Deepika Sharma has been associated with academics /corporate education for more than 14 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning. </p> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="shadows"> <img data-src="https://datatrained.com/images/courses/datascience/shankargouda.avif" class="lazyload" alt="Shankargouda Tegginmani - Data Scientist, Accenture"> <h3>Shankargouda Tegginmani</h3> <span> Data Scientist, Accenture</span> <p>Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products. </p> </div> </div> <!--<div class="col-lg-4 col-md-6 col-12">--> <!-- <div class="shadows">--> <!-- <img data-src="https://www.datatrained.com/images/courses/datascience/Sanket.jpg" alt="Sanket Maheshwari - Data Scientist, Faasos">--> <!-- <h3>Sanket Maheshwari</h3>--> <!-- <span>Data Scientist, Faasos</span>--> <!-- <p>Experienced Data Scientist with a demonstrated history of working in the information technology and services industry.--> <!-- </p>--> <!-- </div>--> <!--</div>--> <div class="col-lg-4 col-md-6 col-12"> <div class="shadows"> <img data-src="https://datatrained.com/images/about/mentor-8.avif" class="lazyload" alt="Andrew Labeodan - Data Scientist, Centrica"> <h3>Andrew Labeodan</h3> <span>Data Scientist, Centrica</span> <p>Andrew is a data Scientist with 14 years of experience. His expertise spans healthcare and Energy Utilities, and he's renowned for successfully implementing data analytics in oncology.</p> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="shadows"> <img data-src="https://datatrained.com/images/about/mentor-9.avif" class="lazyload" alt="Adedolapo Ogunlade - Data Scientist at Kaggle"> <h3>Adedolapo Ogunlade</h3> <span>Data Scientist at Kaggle</span> <p>Adedolapo is a seasoned Data Scientist at Kaggle, specializing in Machine Learning, Statistical Analysis, Data Visualization, and Data Science.</p> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="shadows"> <img data-src="https://datatrained.com/images/about/mentor-10.avif" class="lazyload" alt="Gifty Aiyegbeni - Data Scientist at Bincom Global"> <h3>Gifty Aiyegbeni</h3> <span>Data Scientist at Bincom Global</span> <p>Gifty is a dedicated data scientist and analyst passionate, currently working in Bincom Global. She is experienced in python programming, R programming, and SQL queries while offering knowledge in statistical analysis.</p> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="shadows"> <img data-src="https://datatrained.com/images/about/mentor-11.avif" class="lazyload" alt="Ioannis Petridis - Data Scientist at KLDiscovery"> <h3>Ioannis Petridis</h3> <span>Data Scientist at KLDiscovery</span> <p>Ioannis Petridis is Data Scientist with 9+ years of experience, currently working in KLDiscovery. He has a deep passion in apply lean Data Science and Machine Learning solutions to solve business problems and deliver impactful and innovative products.</p> </div> </div> <!--<div class="col-lg-4 col-md-6 col-12">--> <!-- <div class="shadows">--> <!-- <img data-src="https://www.datatrained.com/images/courses/datascience/Polong.jpg" alt="Polong Lin - Business Analyst, IBM">--> <!-- <h3>Polong Lin</h3>--> <!-- <span>Business Analyst, IBM</span>--> <!-- <p> Polong Lin is a Data Scientist at IBM in Canada. Under the Emerging Technologies division, Polong is responsible for educating the next generation of data scientists through BDU.</p>--> <!-- </div>--> <!--</div>--> <!--<div class="col-lg-4 col-md-6 col-12">--> <!-- <div class="shadows">--> <!-- <img data-src="https://www.datatrained.com/images/courses/datascience/jay.jpg" alt="Jay Rajasekharan- Data Scientist, IBM">--> <!-- <h3>Jay Rajasekharan</h3>--> <!-- <span>Data Scientist, IBM</span>--> <!-- <p>Currently, he is driving several productivity programs - using data analytics to drive insights from business operations and implementing optimizations such as streamlining workflows, improving service levels, and ultimately reducing cost. </p>--> <!-- </div>--> <!--</div>--> <!--<div class="col-lg-4 col-md-6 col-12">--> <!-- <div class="shadows">--> <!-- <img data-src="https://www.datatrained.com/images/courses/datascience/mah.webp" alt="Mahdi Noorian- Data Scientist, IBM">--> <!-- <h3>Mahdi Noorian</h3>--> <!-- <span>Data Scientist, IBM</span>--> <!-- <p> Mahdi Noorian is a Postdoctoral Fellow at the Laboratory for Systems, Software and Semantics (LS3) of the Ryerson University. He holds a Ph.D degree in Computer Science from University of New Brunswick. </p>--> <!-- </div>--> <!--</div>--> </div> </div></section><section id="syllabus" class="pd"> <div class="syllabus"> <div class="container-fluid"> <div class="row"> <div class="col-xl-7 col-lg-6 col-md-7 col-12"> <div class="place-heading col-flex"> <h2>Data Science Course Syllabus</h2> <p>Best-in-class content by leading faculty and industry leaders in the form of live sessions, pre-recorded videos, projects, case studies, industry webinars, and assignments.</p> <button class="btn-download" data-toggle="modal" data-target="#register-form"><i class="fa fa-download"></i> Download Syllabus</button> </div> </div> <div class="col-xl-5 col-lg-6 col-md-5 col-12"> <img data-src="https://datatrained.com/images/courses/syllabus.avif" class="lazyload" alt="best data science courses online"> </div> </div> </div> </div></section><section class="syllabus-bottom"> <div class="container-fluid"> <div class="syllabus-headings"> <h3>Detailed Syllabus of Data Science Course</h3> </div> <div class="row row-reverse"> <div class="col-12 mobile-display"> <div class="mobile-curri"> <div class="big-box"> <ul> <li><img data-src="https://datatrained.com/images/courses/hours.avif" class="lazyload" alt="300+ Hours of Content - data science program institute"></li> <li> <span>300+</span> <p>Hours of Content</p> </li> </ul> </div> <div class="big-box"> <ul> <li><img data-src="https://datatrained.com/images/courses/live-streaming.avif" class="lazyload" alt="80+ Live Sessions - data science online training"></li> <li> <span>80+</span> <p>Live Sessions</p> </li> </ul> </div> <div class="big-box"> <ul> <li><img data-src="https://datatrained.com/images/courses/tool.avif" class="lazyload" alt="15 Tools and Software - best tools for data science"></li> <li> <span>15</span> <p>Tools and Software</p> </li> </ul> </div> </div> <button type="button" class="fill-btn" data-toggle="modal" data-target="#register-form">Download Curriculum cum Brochu</button> </div> <div class="col-xl-4 col-lg-5 col-md-5 col-12 mobile-display-none"> <div class="curriculum"> <h3>Comprehensive Curriculum</h3> <p>The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.</p> <div class="sy-img-con"> <div class="syllabus-img"> <img data-src="https://datatrained.com/images/courses/hours.avif" class="lazyload" alt="300+ Hours of Content - data science program institute"> </div> <div class="syllabus-content"> <span>300+</span> <p>Hours of Content</p> </div> </div> <div class="sy-img-con"> <div class="syllabus-img"> <img data-src="https://datatrained.com/images/courses/live-streaming.avif" class="lazyload" alt="80+ Live Sessions - data science online training"> </div> <div class="syllabus-content"> <span>80+</span> <p>Live Sessions</p> </div> </div> <div class="sy-img-con"> <div class="syllabus-img"> <img data-src="https://datatrained.com/images/courses/tool.avif" class="lazyload" alt="15 Tools and Software - best tools for data science"> </div> <div class="syllabus-content"> <span>15</span> <p>Tools and Software</p> </div> </div> <button type="button" class="down-cum" data-toggle="modal" data-target="#register-form">Download Curriculum Brochure</button> </div> </div> <div class="col-xl-8 col-lg-7 col-md-7 col-12"> <div class="accordion md-accordion" id="accordion-inv" role="tablist" aria-multiselectable="true"> <div class="syllabus-newbox"> <h4 class="module-heading">Set the Basics Right</h4> <p>DataTrained's orientation prepares students to use the platform by introducing the Learning Management System, accessing course material, attending live classes and assessments, connecting with mentors and receiving career coach support. A preparatory session covers curriculum explanation and software installation guidance. The Data Science Foundation course covers Excel fundamentals (calculations, data sets, manipulation) and statistical concepts (mean, median, mode, standard deviation and skewness) with real-world scenarios applied for data analysis using graphs/charts. The Programming Foundation course introduces data science and builds programming skills including code solutions, algorithms and flowcharts/pseudocode for further exploration of data science/coding.</p> <div class="card"> <div class="card-header" role="tab" id="heading9"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse9" aria-expanded="false" aria-controls="collapse9"> <h5 class="mb-0">LMS Essentials<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse9" class="collapse" role="tabpanel" aria-labelledby="heading9" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>The orientation session at DataTrained is tailored to equip students with the necessary information and understanding to effectively utilize our platform for the best possible outcome. During this session, students are provided with a thorough introduction to our modern Learning Management System, called the DataTrained Academy. Students gain an understanding of how they can easily access course material, engage in live classes, complete assessments, and connect with mentors for any questions or queries. Moreover, students learn about the career coach support who is available to them throughout their course journey to provide guidance and support.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading010"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse010" aria-expanded="false" aria-controls="collapse010"> <h5 class="mb-0">Prepare for the Future<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse010" class="collapse" role="tabpanel" aria-labelledby="heading010" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>In order to ensure that students have a comprehensive understanding of the course and its expectations, a preparatory session is held prior to the commencement of the program. This session is designed to give students an in-depth explanation of the entire curriculum, as well as guidance on how to install any necessary software needed to begin their journey with the course. This preparatory session helps to alleviate any uncertainties or apprehensions that students may have about their upcoming program, and ensures that they are fully prepared for the challenges ahead.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading011"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse011" aria-expanded="false" aria-controls="collapse011"> <h5 class="mb-0">Data Science Foundation - Get to Know the Data Science Universe<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse011" class="collapse" role="tabpanel" aria-labelledby="heading011" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>The "Data Science Foundation" course is the next offering in the program, allowing students to gain insight into data science and the responsibilities of a data scientist or analyst. It begins with a thorough overview of Excel fundamentals, such as basic calculations, working with data sets, cleaning and manipulating it for further use. Additionally, learners will be introduced to important statistical concepts like mean, median, mode, standard deviation and skewness. They will also be coached on how to apply these to real-world scenarios in Excel and analyze data accurately. Through the use of graphs and charts, students can then make informed decisions based on their observations from the data analysis.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading012"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse012" aria-expanded="false" aria-controls="collapse012"> <h5 class="mb-0">Programming Foundation for Data Science<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse012" class="collapse" role="tabpanel" aria-labelledby="heading012" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Upon being given a basic introduction to the expansive field of data science, students build upon their programming skills through the "Programming Foundation for Data Science" course. Its primary purpose is to ensure that students have a thorough understanding of programming fundamentals and how to create a code-based solution for any problem or challenge they may face. Throughout this course, students acquire the ability to craft algorithms by way of flowcharts and pseudocode, which are essential components in any programming journey. This course provides an excellent foundation for those looking to explore the world of data science and coding practices in greater detail.</p> </div> </div> </div> </div> </div> </div> <div class="syllabus-newbox"> <h4 class="module-heading">Foundations</h4> <p>The Foundations bundle comprises 2 courses where you will learn to tackle Statistics and Coding head-on. These 2 courses create a strong base for us to go through the rest of the tour with ease.</p> <div class="card"> <div class="card-header" role="tab" id="heading1"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse1" aria-expanded="false" aria-controls="collapse1"> <h5 class="mb-0">Python for Artificial Intelligence & Machine Learning<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse1" class="collapse" role="tabpanel" aria-labelledby="heading1" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>This course will introduce you to the world of Python programming language that is widely used in Artificial Intelligence and Machine Learning. We will start with basic ideas before going on to the language's important vocabulary as search phrases, syntax, or sentence building. This course will take you from the basic principles of AI and ML to the crucial ideas with Python, among the most widely used and effective programming languages in the present market. In simple terms, Python is like the English language.</p> <span>Python Basics</span> <p>Python is a popular high-level programming language with a simple, easy-to-understand syntax that focuses on readability. This module will guide you through the whole foundations of Python programming, culminating in the execution of your 1st Python program.</p> <span> Anaconda Installation - Jupyter notebook operation</span> <p>Using Jupyter Notebook, you will learn how to use Python for Artificial Intelligence and Machine Learning. We can create and share documents with narrative prose, visualizations, mathematics, and live code using this open-source online tool.</p> <span>Python functions, packages and other modules</span> <p>For code reusability and software modularity, functions & packages are used. In this module, you will learn how you can comprehend and use Python functions and packages for AI.</p> <span>NumPy, Pandas, Visualization tools</span> <p>In this module, you will learn how to use Pandas, Matplotlib, NumPy, and Seaborn to explore data sets. These are the most frequently used Python libraries. You'll also find out how to present tons of your data in simple graphs with Python libraries as Seaborn and Matplotlib.</p> <span>Working with various data structures in Python, Pandas, Numpy</span> <p>Understanding Data Structures is among the core components in Data Science. Additionally, data structure assists AI and ML in voice & image processing. In this module, you will learn about data structures such as Data Frames, Tuples, Lists, and arrays, & precisely how to implement them in Python.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading2"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse2" aria-expanded="false" aria-controls="collapse2"> <h5 class="mb-0">Applied Statistics<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse2" class="collapse" role="tabpanel" aria-labelledby="heading2" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>In this module, you will learn about the words and ideas that are important to Exploratory Data Analysis and Machine Learning. You will study a specific set of tools required to assess and extract meaningful insights from data, from a simple average to the advanced process of finding statistical evidence to support or even reject wild guesses & hypotheses.</p> <span>Descriptive Statistics</span> <p>Descriptive Statistics is the study of data analysis that involves describing and summarising different data sets. It can be any sample of a world's production or the salaries of employees. This module will teach you how to use Python to learn Descriptive Statistics for Machine Learning.</p> <span>Inferential Statistics</span> <p>In this module, you will use Python to study the core ideas of using data for estimating and evaluating hypotheses. You will also learn how you can get the insight of a large population or employees of any company which can't be achieved manually.</p> <span>Probability & Conditional Probability</span> <p>Probability is a quantitative tool for examining unpredictability, as the possibility of an event occurring in a random occurrence. The probability of an event occurring because of the occurrence of several other occurrences is recognized as conditional probability. You will learn Probability and Conditional Probability in Python for Machine Learning in this module.</p> <span>Hypothesis Testing</span> <p>With this module, you will learn how to use Python for Hypothesis Testing in Machine Learning. In Applied Statistics, hypothesis testing is among the crucial steps for conducting experiments based on the observed data.</p> </div> </div> </div> </div> </div> </div> <div class="syllabus-newbox"> <h4 class="module-heading">Machine Learning</h4> <p>Machine Learning is a part of artificial intelligence that allows software programs to boost their prediction accuracy without simply being expressly designed to do so. You will learn all the Machine Learning methods from fundamental to advanced, and the most frequently used Classical ML algorithms that fall into all of the categories.</p> <div class="card"> <div class="card-header" role="tab" id="heading3"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse3" aria-expanded="false" aria-controls="collapse3"> <h5 class="mb-0">Supervised Learning<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse3" class="collapse" role="tabpanel" aria-labelledby="heading3" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>With this module, you will learn supervised machine learning algorithms, the way they operate, and what applications they can be used for - Classification and Regression.</p> <span>Linear Regression - Simple, Multiple regression</span> <p>Linear Regression is one of the most popular Machine Learning algorithms for predictive studies, leading to the very best benefits. It is an algorithm that assumes the dependent and independent variables have a linear connection.</p> <span>Logistic regression</span> <p>Logistic Regression is one of the most popular machine learning algorithms. It is a fundamental classification technique that uses independent variables to predict binary data like 0 or 1, positive or negative , true or false, etc. In this module, you will learn all of the Logistic Regression concepts that are used in Machine Learning.</p> <span>K-NN classification</span> <p> k-Nearest Neighbours (Knn) is another widely used Classification algorithm, it is a basic machine learning algorithm for addressing regression and classification problems. With this module, you will learn how to use this algorithm. You will also understand the reason why it is known as the Lazy algorithm. Interesting Right?</p> <span>Support vector machines</span> <p>Support Vector Machine (SVM) is another important machine learning technique for regression and classification problems. In this module, you will learn how to apply the algorithm into practice and understand several ways of classifying the data.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading4"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse4" aria-expanded="false" aria-controls="collapse4"> <h5 class="mb-0">Ensemble Techniques<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse4" class="collapse" role="tabpanel" aria-labelledby="heading4" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>We explore beyond the limits of supervised standalone models in this Machine Learning online course and then discover a number of ways to address them, for example Ensemble approaches.</p> <span>Decision Trees</span> <p>The Decision Tree algorithm is an important part of the supervised learning algorithms family. The decision tree approach can be used to resolve regression and classification problems unlike others. By learning simple decision rules inferred from previous data, the goal of using a Decision Tree is constructing a training type that will be used to predict the class or value of the target varying.</p> <span>Random Forests</span> <p>Random Forest is a common supervised learning technique. It consists of multiple decision trees on the different subsets of the initial dataset. The average is then calculated to enhance the dataset's prediction accuracy.</p> <span>Bagging and Boosting</span> <p>When the aim is to decrease the variance of a decision tree classifier, bagging is implemented. The average of all predictions from several trees is used, that is a lot more dependable than a single decision tree classifier.</p> <p>Boosting is a technique for generating a set of predictions. Learners are taught gradually in this technique, with early learners fitting basic models to the data and consequently analyzing the data for errors.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading5"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse5" aria-expanded="false" aria-controls="collapse5"> <h5 class="mb-0">Unsupervised Machine Learning<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse5" class="collapse" role="tabpanel" aria-labelledby="heading5" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>In this module, you will study what Unsupervised Learning algorithms are, how they operate, and what applications they can be used for - Clustering and Dimensionality Reduction, and so on.</p> <span>K-means clustering</span> <p>In Machine Learning or even Data Science, K-means clustering is a common unsupervised learning method for managing clustering problems. In this module, you will learn how the algorithm works and how you can use it.</p> <span>Hierarchical clustering</span> <p>Hierarchical Clustering is a machine learning algorithm for creating a bunch hierarchy or tree-like structure. It is used to group a set of unlabeled datasets into a bunch in a hierarchical framework. This module will help you to use this technique.</p> <span>Principal Component Analysis</span> <p>PCA is a Dimensional Reduction technique for reducing a model's complexity, like reducing the number of input variables in a predictive model to avoid overfitting. Dimension Reduction PCA is also a well-known ML approach in Python, and this module will cover all that you need to know about this.</p> <span>DBSCAN</span> <p>Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to identify arbitrary-shaped clusters and clusters with sound. You will learn how this algorithm will help us to identify odd ones out from the group.</p> </div> </div> </div> </div> </div> </div> <div class="syllabus-newbox"> <h4 class="module-heading">Advanced Techniques</h4> <div class="card"> <div class="card-header" role="tab" id="heading6"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse6" aria-expanded="false" aria-controls="collapse6"> <h5 class="mb-0">Advanced Techniques<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse6" class="collapse" role="tabpanel" aria-labelledby="heading6" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <span>EDA - Part1</span> <p>Exploratory Data Analysis (EDA) is a procedure of analyzing the data using different tools and techniques. You will learn data standardization and represent the data through different graphs to assess and make decisions for several business use cases. You will also learn all the essential encoding techniques.</p> <span>EDA - Part2</span> <p>You will also get a opportunity to use null values, dealing with various data and outliers preprocessing techniques to create a machine learning model.</p> <span>Feature Engineering</span> <p>Feature Engineering is the process of extracting features from an organization's raw data by using domain expertise. A feature is a property shared by independent units that can be used for prediction or analysis. With this module, you will learn how this works.</p> <span>Feature Selection</span> <p>Feature selection is also called attribute selection, variable selection, or variable subset selection. It is the process of selecting a subset of relevant features for use in model development. You can learn many techniques to do the feature selection.</p> <span>Model building techniques</span> <p>Here you will learn different model-building techniques using different tools</p> <span>Model Tuning techniques</span> <p>In this module, you can learn how to enhance model performance using advanced techniques as GridSearch CV, Randomized Search CV, cross-validation strategies, etc.</p> <span>Building Pipeline</span> <p>What is Modeling Pipeline and how does it work? Well, it is a set of data preparation steps, modeling functions, and prediction transform routines organized in a logical order. It allows you to specify, evaluate, and use a series of measures as an atomic unit.</p> </div> </div> </div> </div> </div> </div> <div class="syllabus-newbox"> <h4 class="module-heading">Time Series Analysis</h4> <div class="card"> <div class="card-header" role="tab" id="heading7"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse7" aria-expanded="false" aria-controls="collapse7"> <h5 class="mb-0">Time Series Analysis<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse7" class="collapse" role="tabpanel" aria-labelledby="heading7" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <span>Introduction</span> <p>A time series is a set of data points that appear in a specific order over a specific time. A time series in investing records the movement of selected data points, like the cost of security, with a set period of time, with data points collected at regular intervals.</p> <span>Time Series Components</span> <p>In this module, you will learn about different components that are necessary to analyze and forecast future outcomes.</p> <span>Stationarity</span> <p>You will learn what is stationarity and the importance of learning stationarity.</p> <span>Time Series Models</span> <p>In this module, you will learn common Time series models as AR, MA, ARIMA, etc.</p> <span>Model Evaluation</span> <p>When you build models, you will use different evaluation methods to gauge the product performance or even accuracy. Yes, In this module, you will learn model evaluation methods.</p> <span>Use Case and Assignment</span> <p>You will also get a chance to work on assignments and feel at ease while working on the use case scenarios.</p> <span>Projects</span> <p>Also, we are providing a few more extra projects for practice, you can assemble and compare your solutions with the ones we provide.</p> </div> </div> </div> </div> </div> </div> <div class="syllabus-newbox"> <h4 class="module-heading">Recommendation Engine</h4> <div class="card"> <div class="card-header" role="tab" id="heading8"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse8" aria-expanded="false" aria-controls="collapse8"> <h5 class="mb-0">Recommendation Engine<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse8" class="collapse" role="tabpanel" aria-labelledby="heading8" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <span>Introduction</span> <p>In the introduction module, you will learn why recommendation systems are used, their requirement, and their applications.</p> <span>Understanding the relationship</span> <p>In this module, you will learn on what basis recommendation engine works and their association rules.</p> <span>Types of Data in RS</span> <p>In this module, you will learn all the types of data used in the Recommendation Engine.</p> <span>Ratings in RS</span> <p>In this module, you will learn just how the ratings are drawn in the Recommendation Engine.</p> <span>Similarity and Its Measures</span> <p>Recommendation systems work on the basis of similarity between the product and the consumers who view it. There are many ways for determining how similar 2 products are. This similarity matrix is used by recommendation systems to recommend the next most comparable product to the customer.</p> <span>Types of Recommendation Engine</span> <p>In this module, you will learn different types of Recommendation Engines.</p> <span>Evaluation Metrics in Recommendation</span> <p>Once you build the models, you require metrics to evaluate how effective is your model. You will learn various evaluation tools in RE.</p> <span>Use cases</span> <p>You will also get an opportunity to focus on additional use cases. Later, you can compare your solution with the SME-provided solution.</p> </div> </div> </div> </div> </div> </div> <div class="syllabus-newbox"> <h4 class="module-heading">ChatGpt Essentials</h4> <p>ChatGpt is a revolutionary AI chatbot technology that provides users with powerful tools for content generation, prompt ideas, and other features. This module will help you understand the various capabilities of this advanced technology, including its strengths and limitations.</p> <div class="card"> <div class="card-header" role="tab" id="heading13"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse13" aria-expanded="false" aria-controls="collapse13"> <h5 class="mb-0">Introduction to GPT-3<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse13" class="collapse" role="tabpanel" aria-labelledby="heading13" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI. Learn about GPT-3 and its capabilities like Natural Language Understanding abd Promt Engineering.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading14"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse14" aria-expanded="false" aria-controls="collapse14"> <h5 class="mb-0">Introduction to Prompt Engineering<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse14" class="collapse" role="tabpanel" aria-labelledby="heading14" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Prompt engineering is the practice of designing and crafting effective prompts or input instructions for language models like GPT-3 to guide their generation of desired outputs. Learn to leverage the power of prompt engineering to be 10x productive like never before.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading15"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse15" aria-expanded="false" aria-controls="collapse15"> <h5 class="mb-0">Introduction to Explainable AI (XAI)<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse15" class="collapse" role="tabpanel" aria-labelledby="heading15" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Explainable AI and model interpretability are becoming increasingly important as AI models are being used in various critical domains, such as healthcare, finance, and legal systems, where accountability, fairness, and transparency are crucial. Learn to build machine learning models using LIME & ShARP.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading16"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse16" aria-expanded="false" aria-controls="collapse16"> <h5 class="mb-0">Deep Diving GPT<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse16" class="collapse" role="tabpanel" aria-labelledby="heading16" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Dive into the GPT model and their architecture. Develop understanding about concepts like Reinforcement Learning from Human Feedback (RLHF), one-shot learning, and few shot learning.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading17"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse17" aria-expanded="false" aria-controls="collapse17"> <h5 class="mb-0">Project: AI Evaluator<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse17" class="collapse" role="tabpanel" aria-labelledby="heading17" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Learn to build an AI Evaluator that automatically evaluate exam submissions by the students by leveraging the GPT and eliminating the need for training NLP models from the scratch.</p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading18"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse18" aria-expanded="false" aria-controls="collapse18"> <h5 class="mb-0">Introduction to GNN (Graph Neural Networks)<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse18" class="collapse" role="tabpanel" aria-labelledby="heading18" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Understand and learn to build a GNN model. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading19"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse19" aria-expanded="false" aria-controls="collapse19"> <h5 class="mb-0">Deep Diving GNN<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse19" class="collapse" role="tabpanel" aria-labelledby="heading19" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>In depth understanding of advanced GNN. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading20"> <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse20" aria-expanded="false" aria-controls="collapse20"> <h5 class="mb-0">Understanding Generative Modeling<i class="fa fa-caret-down"></i></h5> </a> </div> <div id="collapse20" class="collapse" role="tabpanel" aria-labelledby="heading20" data-parent="#accordion-inv"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Generative models can be used in a wide range of applications, including image generation, text generation, speech synthesis, music composition, and more. Build underderstandinng of text-to-image models and image-to-text models.</p> </div> </div> </div> </div> </div> </div> <!--<div class="syllabus-newbox">--> <!-- <span class="module-box">Module 6</span>--> <!-- <h4 class="module-heading">Introduction to Deep Learning</h4>--> <!-- <p>In this introduction module, we look at the different components of a neural network, starting with adopting the phrases of Neural Networking. Install and familiarize yourself using the TensorFlow library, enjoy Keras' simplicity, then use Keras to create a strong neural network model for a classification problem. Also, you will learn how to fine-tune a Deep Neural Network.</p>--> <!-- <div class="card">--> <!-- <div class="card-header" role="tab" id="heading9">--> <!-- <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse9" aria-expanded="false" aria-controls="collapse9">--> <!-- <h5 class="mb-0">Introduction to Deep Learning<i class="fa fa-caret-down"></i></h5>--> <!-- </a>--> <!-- </div>--> <!-- <div id="collapse9" class="collapse" role="tabpanel" aria-labelledby="heading9" data-parent="#accordion-inv">--> <!-- <div class="card-body">--> <!-- <div class="row">--> <!-- <div class="col-lg-12">--> <!-- <span>Practical case of MLP</span>--> <!-- <p>A multi-layer perceptron is a mathematical model of a biological neuron or an artificial neuron. A neural network is a computing system based on the human brain's organic neural networking. In this module, you will learn about all of the neural network's uses and perception.</p>--> <!-- <span>Practical case of MLP</span>--> <!-- <p>A multi-layer perceptron is a mathematical model of a biological neuron or an artificial neuron. A neural network is a computing system based on the human brain's organic neural networking. In this module, you will learn about all of the neural network's uses and perception.</p>--> <!-- <span>Tensor Flow & Keras for Neural Networks and Deep Learning</span>--> <!-- <p>TensorFlow is an open-source library for numerical computing and machine learning that was introduced by Google. Keras is a robust open-source API for building & evaluating deep learning models. In this module, you will learn how to set up Keras and TensorFlow from the starting. In Python, these libraries are often used for AI & ML.</p>--> <!-- <span>Activation and Loss functions</span>--> <!-- <p>In this module, you will learn how the Activation Function is used in defining a neural network's paper from many inputs. The Loss Function is a technique for predicting neural community error.</p>--> <!-- <span>Convolution neural networks</span>--> <!-- <p>A Convolutional Neural Community (CNN) is a kind of artificial neural network. In this module, you will learn about image recognition and processing that is specially developed to process pixel data.</p>--> <!-- <span>Practical Cases of CNN in image classification</span>--> <!-- <p>You will get an opportunity to work on use cases of image classification and learn how CNN will work behind the scenes.</p>--> <!-- <span>Transfer Learning</span>--> <!-- <p>Transfer learning is a deep learning research technique that focuses on storing and transferring knowledge received while training one model to another.</p>--> <!-- <span>Implementing Object Detection</span>--> <!-- <p>In this module, you will learn about how object detection models are built. </p>--> <!-- <span>Segmentation using CNNs</span>--> <!-- <p>Each pixel in an image is labeled with a unique class in image segmentation. Dense prediction is another name for this pixel labeling problem. In this module, you will learn how image segmentation is performend.</p>--> <!-- <span>AutoEncoders</span>--> <!-- <p>A neural network model called autoencoder is designed to master a compressed representation of the input. A neural network that has been taught to replicate the input to its output is called as an autoencoder. </p>--> <!-- <span>Sequence Based Model</span>--> <!-- <p>The sequence based model accepts a sequence of objects (words, time series, characters, etc.) and develops another sequence. Model Seq2Seq. The input is a sequence of words, and the output is the translated series of words in the Neural Machine Translation.</p>--> <!-- <span>Projects</span>--> <!-- <p>In this module, you will also get an opportunity to work on multiple models.</p>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!--</div>--> <!--<div class="syllabus-newbox">--> <!-- <span class="module-box">Module 7</span>--> <!-- <h4 class="module-heading">Intoduction to NLP</h4>--> <!-- <p>Natural Language Processing is a part of computational linguistics that is used to develop real-world applications that work with languages of different structures. With appropriate algorithms, you will learn how to educate the computer to learn languages and then expect it to fully understand them. This system will take you through a introduction of NLP and all of the main components. </p>--> <!-- <div class="card">--> <!-- <div class="card-header" role="tab" id="heading10">--> <!-- <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse10" aria-expanded="false" aria-controls="collapse10">--> <!-- <h5 class="mb-0">Intoduction to NLP<i class="fa fa-caret-down"></i></h5>--> <!-- </a>--> <!-- </div>--> <!-- <div id="collapse10" class="collapse" role="tabpanel" aria-labelledby="heading10" data-parent="#accordion-inv">--> <!-- <div class="card-body">--> <!-- <div class="row">--> <!-- <div class="col-lg-12">--> <!-- <span>Applications of NLP</span>--> <!-- <p>In this module, you will learn different applications that use NLP</p>--> <!-- <span>Text Preprocessing</span>--> <!-- <p>You will learn how to preprocess text using NLP tools.</p>--> <!-- <span>Hands on Parts of Speech (POS)</span>--> <!-- <p>When you are dealing with languages it is normal that we will come across parts of speech. You will learn how you can tag POS in this module.</p>--> <!-- <span>Regular Expressions Introduction</span>--> <!-- <p>You may observe while reading an article or a newspaper that, between the words, you will find several regular expressions too. In this module, you will learn how to deal with regular expressions.</p>--> <!-- <span>Semantic Processing</span>--> <!-- <p>The technique of comprehending natural language the way humans communicate based on meaning and context is known as semantic analysis. Semantic technology analyses the logical structure of phrases to find the most important parts in a text and comprehend the subject at hand.</p>--> <!-- <span>Deep Learning for Deep NLP</span>--> <!-- <p>You can learn the introduction of deep learning for NLP. In case you are familiar with this already, it will be a refresher.</p>--> <!-- <span>Introduction on Co- Occurrence matrix</span>--> <!-- <p>A co-occurrence matrix will include certain entities in rows (ER) and column (CC) (EC). The aim of this matrix is to show how many times each ER and each EC occur in the very same context.</p>--> <!-- <span>Word Embeddings</span>--> <!-- <p>Word embedding is a term used in natural language processing (NLP) to summarize the representation of words for text analysis, which is in the form of a real-valued vector that encodes the meaning of the word and predicts the meaning of words that are close in the vector area.</p>--> <!-- <span>LSA Introduction</span>--> <!-- <p>Latent Semantic Analysis (LSA) is a mathematical process that is used to get insight into components. Topic Modeling is based on this method. The basic idea is to divide a matrix of what we've - terms and documents - into 2 distinct document topic and topic-term matrices.</p>--> <!-- <span>SkipGram Intro</span>--> <!-- <p>Skip-gram is a kind of unsupervised learning technique for finding the most similar words for a specified word. Skip-gram is a strategy for predicting the context word for a target word.</p>--> <!-- <span>Word2Vec Intro</span>--> <!-- <p>Word2vec is a natural language processing technique. The word2vec method learns word connections from a huge corpus of text using a neural network model. Once trained, this can recognize synonyms and propose extra words for a sentence.</p>--> <!-- <span>Glove Hands on</span>--> <!-- <p>GloVe (Global Vectors for Word Representation) is also a method of creating word embeddings. It is based on word context matrices and matrix factorization methods. And then, we factorize this matrix to get a lower-dimensional matrix with every row corresponding to a vector representation of every word.</p>--> <!-- <span>Project on Text Classification </span>--> <!-- <p>You will learn to work on text classification projects. For example, How to find if an email is spam or not.</p>--> <!-- <span>Introduction to Sentiment Analysis</span>--> <!-- <p>You will learn to work on a Sentiment analysis project. For example, How is the movie? Did the customer like the product? etc.</p>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!--</div>--> <!--<div class="syllabus-newbox">--> <!-- <span class="module-box">Module 8</span>--> <!-- <h4 class="module-heading">Tableau</h4>--> <!-- <div class="card">--> <!-- <div class="card-header" role="tab" id="heading11">--> <!-- <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse11" aria-expanded="false" aria-controls="collapse11">--> <!-- <h5 class="mb-0">Tableau<i class="fa fa-caret-down"></i></h5>--> <!-- </a>--> <!-- </div>--> <!-- <div id="collapse11" class="collapse" role="tabpanel" aria-labelledby="heading11" data-parent="#accordion-inv">--> <!-- <div class="card-body">--> <!-- <div class="row">--> <!-- <div class="col-lg-12">--> <!-- <span>Getting Started</span>--> <!-- <p>Tableau is a visual platform for business intelligence and analytics which allows users to monitor, comprehend, observe, and make choices with a range of data. It allows you to produce any kind of graph, plot, or chart without scripting.</p>--> <!-- <span>Data handling & summaries</span>--> <!-- <p>You can learn how to handle various types of data, plot, analyze, sort, and summarise the entire data.</p>--> <!-- <span>Building Advanced Reports/ Maps</span>--> <!-- <p>Tableau Reports are a built-in feature of Tableau that allows users to display data from different sources into reports to better comprehend how far they have progressed toward their goals, better understand their customers' needs, and forecast future plans.</p>--> <!-- <span>Calculated Fields</span>--> <!-- <p>You will use calculated fields to generate new data from existing data in your data source. When you build a calculated field in your data source, you are efficient in including a new field (or column) whose values or members are determined by a computation that you control.</p>--> <!-- <span>Table calculations</span>--> <!-- <p>Table computations are modifications that can be applied to the data in a display. They are a kind of calculated field that works with Tableau's local data based on what is already in view.</p>--> <!-- <span>Parameters</span>--> <!-- <p>Parameters let you change a reference line, band, or box dynamically. For instance, reference a parameter rather than a reference line at a defined position on the axis. The reference line could be moved using parameter control.</p>--> <!-- <span>Building Interactive Dashboards</span>--> <!-- <p>An interactive dashboard allows you to dive down and filter operational data, allowing you to see data from multiple angles or in more depth. Dashboards allow data-driven business choices by providing a simplified and clear overview of overall business information.</p>--> <!-- <span>Building Stories</span>--> <!-- <p>A narrative in Tableau is a set of visuals that work together to present data. You can use tales to convey a data story, offer context, display how steps affect results or make a strong argument.</p>--> <!-- <span>Working with Data</span>--> <!-- <p>In this module, you will learn to join the tables, data blending and make connections, etc.</p>--> <!-- <span>Sharing work with others</span>--> <!-- <p>In this module, you will learn to share Workbooks, Publish to Reader/PDF and Publish to Tableau Server and share on the web.</p>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!--</div>--> <!--<div class="syllabus-newbox">--> <!-- <span class="module-box">Module 9</span>--> <!-- <h4 class="module-heading">Power BI</h4>--> <!-- <div class="card">--> <!-- <div class="card-header" role="tab" id="heading12">--> <!-- <a class="collapsed" data-toggle="collapse" data-parent="#accordion-inv" href="#collapse12" aria-expanded="false" aria-controls="collapse12">--> <!-- <h5 class="mb-0">Power BI<i class="fa fa-caret-down"></i></h5>--> <!-- </a>--> <!-- </div>--> <!-- <div id="collapse12" class="collapse" role="tabpanel" aria-labelledby="heading12" data-parent="#accordion-inv">--> <!-- <div class="card-body">--> <!-- <div class="row">--> <!-- <div class="col-lg-12">--> <!-- <span>Discover Data Analysis in Power BI</span>--> <!-- <p>Power BI is an analytics tool that enables business users to analyze data and distribute insights throughout the organization at all levels. Through interactive and easy dashboards, Power BI offers an end-to-end view of important metrics and key performance indicators, all in real-time and in one place.</p>--> <!-- <span>Get Started Building with Power BI</span>--> <!-- <p>In this module, you will learn how to find Power BI services and apps that interact. Investigate how Power BI can help you to run your business more effectively, and figure out how to make eye-catching graphics and reports.</p>--> <!-- <span>Get Data In Power BI</span>--> <!-- <p>You will use Power BI to connect to data in text-based files, third-party directories, Microsoft Azure directories, along with web services like Google Analytics and SalesForce, among others. You will learn about how you can get the data in Power BI.</p>--> <!-- <span>Clean, Transform and Load data in Power BI</span>--> <!-- <p>Power Query offers a series of capabilities designed to help you in cleaning and preparing your data for analysis. For deeper analytics, you will learn ways to simplify a complicated model, alter data types, and rename items.</p>--> <!-- <span>Design a Data Model In Power BI</span>--> <!-- <p>It is about simplifying the chaos with regard to creating an outstanding data model. In this module, you will find out about the vocabulary and implementation of star schemas, which is one technique to simplify a data type. You will also learn why selecting the right data granularity is vital for Power BI report efficiency and readability.</p>--> <!-- <span>Visualization in Power BI</span>--> <!-- <p>Visualizations are representations of data insights. A Power BI report may have a single page with a single graphic or a lot of pages with multiple visuals. Visuals from reports can be connected to dashboards in the Power BI service.</p>--> <!-- <span>Introduction to Creating Measures using DAX in Power BI</span>--> <!-- <p>Data Analysis Expressions (DAX) is a scripting language that is used to create custom tables, measurements, or calculated columns in Microsoft Power BI. It is a set of capabilities, operators, and also constants that can be used to calculate and return one or more values using a formula, or expression.</p>--> <!-- <span>Create dashboards in Power BI</span>--> <!-- <p>Dashboards enable report users to make a single object of directed data that is created for particular requirements. Dashboards could be made up of different graphics pulled from various reports.</p>--> <!-- <span>On Premises Data Gateway Management</span>--> <!-- <p>Each service combines gateways differently and administration choices can change. This module pertains to the manage gateways page in Power BI, also, you will deal with gateways from any service.</p>--> <!-- <span>Implement Row-Level Security</span>--> <!-- <p>With Power BI, Row-Level Security (RLS) can be used to restrict data access for users. You can add filters inside roles to limit data access at the row level. In this module, you will learn how to set up RLS.</p>--> <!-- <span>Work with AI Visuals in Power BI</span>--> <!-- <p>With Power BI, row-level security (RLS) can be used to limit data access for users. You can build filters inside roles to restrict data access at the row level. With this module, you will learn how to set up RLS.</p>--> <!-- <span>Create Paginated Reports</span>--> <!-- <p>Paginated reports, as the name implies, can span many pages. They are formatted in a certain way and allow for exact modification. They are used to create paginated reports. The Power BI Report Server web portal, like the SQL Server Reporting Services (SSRS) website, allows you to save and control paginated reports.</p>--> <!-- <span>Case Study</span>--> <!-- <p>You will also get a chance to focus on multiple use cases that will enable you to improve your analytical.</p>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!-- </div>--> <!--</div>--> </div> </div> </div> </div></section><section id="electives" class="elective mobile-elective"> <div class="container-fluid"> <div class="place-heading"> <h2>Electives</h2> <p>Strong hand-holding with dedicated support to help you master some of the complex processes of Data Science and Artificial Intelligence.</p> </div> <div class="row justify-content-center"> <div class="col-lg-6 col-md-6 col-12"> <div class="deep-learn"> <div class="data-heading"> <h3>Deep Learning with Computer Vision</h3> </div> <ul> <!--<li>NLP with ML</li>--> <li>Deep Learning </li> <li>Computer Vision</li> <!--<li>Business Analytics with Tableau</li>--> </ul> </div> </div> <div class="col-lg-6 col-md-6 col-12"> <div class="deep-learn"> <div class="data-heading"> <h3>Deep Learning with NLP</h3> </div> <ul> <!--<li>NLP with ML</li>--> <li>Deep Learning </li> <li>Deep NLP</li> <!--<li>Business Analytics with Tableau</li>--> </ul> </div> </div> <div class="col-lg-6 col-md-6 col-12"> <div class="deep-learn"> <div class="data-heading"> <h3>Business Analytics with R</h3> </div> <ul> <!--<li>NLP with ML</li>--> <li>Business Analytics with "R" programming and R shiny</li> <!--<li>Business Analytics with Tableau</li>--> <li>Business Analytics with Advanced Excel</li> </ul> </div> </div> <div class="col-lg-6 col-md-6 col-12"> <div class="deep-learn"> <div class="data-heading"> <h3>Business Analytics with Tableau</h3> </div> <ul> <li>Business Analytics with Tableau</li> <li>Business Analytics with Advanced Excel</li> </ul> </div> </div> <div class="col-lg-6 col-md-6 col-12"> <div class="deep-learn"> <div class="data-heading"> <h3>Business Analytics with Power BI </h3> </div> <ul> <li>Business Analytics with Power BI</li> <li>Business Analytics with Advanced Excel</li> </ul> </div> </div> </div> </div></section><section class="industry mobile-industry"> <div class="container-fluid"> <div class="place-heading"> <h2>Industry Projects</h2> <p>Learn through real-life industry projects sponsored by top companies across industries</p> <ul> <li><img data-src="https://datatrained.com/images/courses/check.avif" class="lazyload" alt="Data science program"> Engage in collaborative projects and learn from peers </li> <li><img data-src="https://datatrained.com/images/courses/check.avif" class="lazyload" alt="Data science program">Mentoring by industry experts to learn and apply better</li> <li><img data-src="https://datatrained.com/images/courses/check.avif" class="lazyload" alt="Data science program">Personalized subjective feedback on your submissions to facilitate improvement</li> </ul> </div> <div class="row"> <div class="col-lg-4 col-md-6 col-12"> <div class="img-industry"> <img data-src="https://datatrained.com/images/courses/datascience/industry-1.webp" class="lazyload" alt="Smartphone and Smartwatch Activity - data science training"> <div class="smartphone"> <h3>Smartphone and Smartwatch Activity</h3> <p>The crude accelerometer and whirligig sensor information is gathered from the cell phone and smartwatch at a pace of 20Hz. </p> </div> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="img-industry"> <img data-src="https://datatrained.com/images/courses/datascience/industry-2.webp" class="lazyload" alt="Recommendation System-- best online data science programs"> <div class="smartphone"> <h3>Recommendation System</h3> <p>In the connected world, it is imperative that the organizations are using to Recommend their Products & Services to the People. </p> </div> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="img-industry"> <img data-src="https://datatrained.com/images/courses/datascience/industry-3.webp" class="lazyload" alt="Air Quality Study- data science course near me"> <div class="smartphone"> <h3>Air Quality Study</h3> <p>Based on The Data Collected from the Meteorological Department, Predicting The Air Quality Of Different Parts of The country </p> </div> </div> </div> </div> </div></section><section class="duration"> <div class="container-fluid"> <div class="row"> <div class="col-lg-12"> <div class="place-heading"> <h2>Why DataTrained for Data Science <span>Program in United States?</span></h2> <p>The best most exclusive Data Science program in United States is the Post Graduate Program in Data Science, Machine Learning, and Neural Networks. The program is developed with Data scientists and industry experts working in the data science domain for decades and according to the international industry standards. The course duration is 12 months including a well-balanced curve of practical and theoretical learning’s covering everything from the basics to the advanced levels of Data Science program in United States and across United States.</p><p>Enroll now to benefit from the best Data Science program online</p> </div> </div> </div> <div class="row"> <div class="col-lg-12"> <div class="tab-industry"> <ul class="nav nav-tabs" role="tablist"> <li class="nav-item"> <a class="nav-link active" href="#Internship" aria-controls="Internship" data-toggle="tab"><img data-src="https://datatrained.com/images/courses/icon-bookmark.avif" class="lazyload" alt="data science program online">Internship</a> </li> <li class="nav-item"> <a class="nav-link" href="#Resume-feedback" aria-controls="Resume-feedback" data-toggle="tab"><img data-src="https://datatrained.com/images/courses/icon-resume.avif" class="lazyload" alt="best online data science programs">Resume Feedback</a> </li> <li class="nav-item"> <a class="nav-link" href="#Interview-pepration" aria-controls="Interview-pepration" data-toggle="tab"><img data-src="https://datatrained.com/images/courses/icon-interview.avif" class="lazyload" alt="data science program institute">Interview Preparation</a> </li> <li class="nav-item"> <a class="nav-link" href="#placement" aria-controls="placement" data-toggle="tab"><img data-src="https://datatrained.com/images/courses/icon-placement.avif" class="lazyload" alt="data science programs with placement">Placement</a> </li> </ul> <div class="col-lg-12"> <div class="tab-content"> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade show active" id="Internship"> <div class="row"> <div class="col-lg-5 col-md-6"> <img data-src="https://datatrained.com/images/courses/datascience/internship.avif" class="lazyload" alt="6 month practical internship"> </div> <div class="offset-lg-1 col-lg-6 col-md-6 flex"> <div class="duration-content"> <p>6 Months internship ensures you graduate as an experienced data science professional rather than a fresher. You can go for an online internship along with your current job.</p> </div> </div> </div> </div> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade" id="Resume-feedback"> <div class="row"> <div class="col-lg-5 col-md-6"> <img data-src="https://datatrained.com/images/courses/datascience/resume-feedback.avif" class="lazyload" alt="Resume pepration by DataTrained"> </div> <div class="offset-lg-1 col-lg-6 col-md-6 flex"> <div class="duration-content"> <p>Partnered with IIMJobs wherein you get access to their paid resume preparation kit and personal feedback from the industry HR experts. An individual career profile is prepared by our experts so that it suits his/her experience and makes it relevant to a Data Scientist role.</p> </div> </div> </div> </div> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade" id="Interview-pepration"> <div class="row"> <div class="col-lg-5 col-md-6"> <img data-src="https://datatrained.com/images/courses/datascience/interview.avif" class="lazyload" alt="Interview pepration DataTrained"> </div> <div class="offset-lg-1 col-lg-6 col-md-6 flex"> <div class="duration-content"> <p>Regular mock HR and Technical interviews by mentors with personal guidance and support. The industry mentor helps students to take projects on Kaggle and move on to the status bar so that their resume looks competitive to the recruiters.</p> </div> </div> </div> </div> <div role="tablist" aria-labelledby="home-tab" class="tab-pane fade" id="placement"> <div class="row"> <div class="col-lg-5 col-md-6"> <img data-src="https://datatrained.com/images/courses/datascience/placement.avif" class="lazyload" alt="100% granted placement"> </div> <div class="offset-lg-1 col-lg-6 col-md-6 flex"> <div class="duration-content"> <p>We generate the Ability Score of every individual which is then sent to our more than 950+ recruitment partner organizations. At last, we organize campus placements every three months to place our students.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div></section><section class="industry-carrerimpact mobile-carrerimpact"> <div class="container-fluid"> <div class="row justify-content-center"> <div class="col-lg-12"> <h2>Career Impact</h2> <p>DataTrained presents the best online Data Science Program in United States. Over 5000 Careers Transformed.</p> </div> </div> <div class="row justify-content-center"> <div class="col-xl-4 col-lg-6 col-md-6 col-12 my-3"> <div class="success-big-box-2"> <div class="story-box bg-color-1"> <i class="fa fa-quote-left"></i> <p>DataTrained has helped me with the vital knowledge and skills that are needed for a data scientist role. The trainer starts with an example to make us comprehend the concept and then help us build the Algorithms with the real industry datasets. DataTrained brings the power of online learning along with dedicated Mentorship, Counselling, Live Sessions and 6 months Internship. </p> <div class="details"> <div class="img-box"> <img data-src="https://datatrained.com/images/courses/datascience/Aaruni-Khare-Data-Scientist.avif" class="lazyload" alt="Aaruni Khare-- Data Scientist"> </div> <div class="cont-box"> <span class="name">Aruni Khare</span> <span class="position">Data Scientist, RBS</span> </div> </div> </div> </div> </div> <div class="col-xl-4 col-lg-6 col-md-6 col-12 my-3"> <div class="success-big-box-2"> <div class="story-box bg-color-2"> <i class="fa fa-quote-left"></i> <p>I saw an ad from DataTrained on facebook and I contacted them straight away and enquired about their Data Science online course. Their counselor took me through the complete journey of what they offer and what is data science all about. After continuous conversation for a few weeks, I was pretty sure about the course and now I knew where I need to invest my money and hard work. </p> <div class="details"> <div class="img-box"> <img data-src="https://datatrained.com/images/courses/datascience/Rakshit-Jain.avif" class="lazyload" alt="Rakshit Jain- Data Scientist, Optum"> </div> <div class="cont-box"> <span class="name">Rakshit Jain</span> <span class="position">Data Scientist, Optum</span> </div> </div> </div> </div> </div> <div class="col-xl-4 col-lg-6 col-md-6 col-12 my-3"> <div class="success-big-box-2"> <div class="story-box bg-color-3"> <i class="fa fa-quote-left"></i> <p>The program is a well-balanced mix of pre-recorded classes, live sessions on weekends and printed reading materials they sent to my address. My mentor was Amit Kaushik and he helped me in getting that confidence and completing my assignments on time. I have almost completed the course and have been able to crack Glenmark interview. Thank you so much DataTrained.</p> <div class="details"> <div class="img-box"> <img data-src="https://datatrained.com/images/courses/datascience/Rupam-Kumar.avif" class="lazyload" alt="Rupam Kumar Chaurasia-- Head Sales, Glenmark"> </div> <div class="cont-box"> <span class="name">Rupam Kumar Chaurasia</span> <span class="position">Head Sales, Glenmark</span> </div> </div> </div> </div> </div> </div> </div></section><section class="vedio-course-page"> <div class="container-fluid"> <div class="row"> <div class="col-lg-8 col-md-12"> <div class="success-video-area"> <div class="video-box" style="background-image: url(https://datatrained.com/images/courses/datascience/data-science-programs-with-placement.avif); background-size: 100%;"> <div class="btm-cont"> <div class="text"></div> <div class="video-img"> <button type="button" data-toggle="modal" data-target="#sucess-story"> <img data-src="https://datatrained.com/images/courses/video-img.avif" class="lazyload" alt="DataTrained-dtgyan"> </button> <div class="modal fade" id="sucess-story" tabindex="-1" aria-labelledby="sucess-storyLabel" aria-hidden="true"> <div class="modal-dialog modal-dialog-centered"> <div class="modal-content"> <div class="modal-body"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> <iframe src="https://www.youtube.com/embed/_w_ObS189yk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </div> </div> </div> </div> </div> </div> <img class="video-logo lazyload" data-src="https://datatrained.com/images/NewFinalLogoE.png" alt="DataTrained" title="DataTrained Logo"> </div> </div> </div> <div class="col-lg-4 col-md-12 flex"> <div class="salary-hike"> <div class="salary-group "> <img data-src="https://datatrained.com/images/courses/average-salary.avif" class="lazyload" alt="66% Average Salary Hike - data science programs with placement"> <span>66%</span> <p>Average Salary Hike</p> </div> <div class="salary-group"> <img data-src="https://datatrained.com/images/courses/salary.avif" class="lazyload" alt="Upto 25LPA Highest Salary - online data science programs and placement"> <span>$ 2,11,567 PA</span> <p>Highest Salary</p> </div> <div class="salary-group"> <img data-src="https://datatrained.com/images/courses/audience.avif" class="lazyload" alt="7k+ Jobs Sourced - data science jobs"> <span>7k+ </span> <p>Jobs Sourced</p> </div> <div class="salary-group"> <img data-src="https://datatrained.com/images/courses/employee.avif" class="lazyload" alt="950+ Hiring Partners - online data science training"> <span>950+</span> <p>Hiring Partners</p> </div> </div> </div> </div> </div></section><section id="admission" class="admission-process mobile-admission"> <div class="container-fluid"> <div class="place-heading"> <h2>Admission Process</h2> <p>There are 3 simple steps in the Admission Process which is detailed below</p> </div> <div class="row justify-content-center"> <div class="col-lg-4 col-md-6 col-12"> <div class="process-steps"> <h3>Step 1: Fill in a Query Form</h3> <p>Fill up the Query Form and one of our counselors will call you & understand your eligibility.</p> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="process-steps"> <h3>Step 2: Get Shortlisted & Receive a Call</h3> <p>Our Admissions Committee will review your profile. Upon qualifying, an Email will be sent to you confirming your admission to the Program. </p> </div> </div> <div class="col-lg-4 col-md-6 col-12"> <div class="process-steps"> <h3>Step 3: Block your Seat & Begin the Prep Course</h3> <p>Block your seat with payment to enroll in the program. Begin with your Prep course and start your Data Science journey! </p> </div> </div> </div> </div></section><section id="fees" class="pd"> <div class="residents"> <div class="container-fluid"> <div class="row"> <div class="col-xl-7 col-lg-6 col-md-6 col-12"> <div class="place-heading col-flex"> <h2>Data Science Course Fee</h2> <p> <span>$ 7,000</span> </p> <p>No Cost EMI options are also available. *</p> <button type="button" class="fill-btn" data-toggle="modal" data-target="#register-form">View Plan</button> </div> </div> <div class="col-xl-5 col-lg-6 col-md-6 col-12"> <div class="residents-right"> <img data-src="https://datatrained.com/images/courses/best-data-science.avif" class="lazyload" alt="best data science institute"> </div> </div> </div> </div> </div></section><section class="book-form"> <div class="container-fluid"> <div class="row"> <div class="col-lg-6 col-md-6 new-padding"> <div class="session-now"> <div class="heading-box"> <h3>I’m interested in this program</h3> </div> <!-- NPF Widget --> <div class="npf_wgts" data-height="450px" data-w="ca2e5980f1a04e8365f8b4d44e98e9a7"></div> <script type="text/javascript"> var s=document.createElement("script"); s.type="text/javascript"; s.async=true; s.src="https://widgets.nopaperforms.com/emwgts.js"; document.body.appendChild(s); </script><!-- End NPF Widget --><script>console.log("data-science-program")</script><script>console.log("US")</script> </div> </div> <div class="col-lg-6 col-md-6 back-color"> <div class="form-cont"> <h3>What's Included in the Price</h3> <p>Placements</p> <p>Access to real-life 40 industry projects</p> <p>6 Months online Internship part of the core curriculum</p> <h3>For Queries and Suggestions</h3> <span>Call DataTrained Now</span> <div class="info-head"><i class="fa fa-envelope-o"></i> Chat With Us</div> <div class="buttons"> <a href="https://salesiq.zoho.in/signaturesupport.ls?widgetcode=185aa0c2daf2c3a770df5066c8325a71c8c73b53030c42852eb5a953fab447df8dcc781057ba169f85fbabad8ab4d4bd" target="_blank">Enrolment Queries</a> <a href="https://salesiq.zoho.in/signaturesupport.ls?widgetcode=185aa0c2daf2c3a770df5066c8325a71c8c73b53030c42852eb5a953fab447df8dcc781057ba169f85fbabad8ab4d4bd" target="_blank">Payment Queries</a> </div> <div class="info-head"> <i class="fa fa-phone"></i> Call </div> <div class="buttons"> <a href="tel:+447441427157">+44-744 142 7157</a> </div> </div> </div> </div> </div></section><section class="syllabus-bottom faq" id="faqs"> <div class="container-fluid"> <div class="syllabus-headings text-center"> <h2>Frequently Ask Questions</h2> </div> <div class="row justify-content-center"> <div class="col-lg-10 col-sm-12"> <div class="accordion md-accordion" id="accordion-faq" role="tablist" aria-multiselectable="true"> <div class="card"> <div class="card-header" role="tab" id="heading01"> <a data-toggle="collapse" data-parent="#accordion-faq" href="#collapse01" aria-expanded="false" aria-controls="collapse01"> <h3 class="mb-0">Is coding required for Data Science training?<i class="fa fa-caret-down"></i> </h3> </a> </div> <div id="collapse01" class="collapse" role="tabpanel" aria-labelledby="heading01" data-parent="#accordion-faq"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Yes, Data science does require basic coding skills although, you don’t need to be an advanced coder. In some cases, you don’t even write a single code since there are so many interfaces like google AutoML. Python, which is the most popular programming in the world of data science. Learning the Python language is like learning the English language. </p> <p>Another benefit of python is that there are already libraries available which mean you don’t need to write codes. Therefore, during <strong>data science training</strong>, the focus will be on learning data science concepts, applications and projects. You don’t have to worry about coding. Our program does provide all the necessary skills required for data science like the basics of python. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading02"> <a data-toggle="collapse" data-parent="#accordion-faq" href="#collapse02" aria-expanded="false" aria-controls="collapse02"> <h3 class="mb-0">Is data science a good career?<i class="fa fa-caret-down"></i></h3> </a> </div> <div id="collapse02" class="collapse" role="tabpanel" aria-labelledby="heading02" data-parent="#accordion-faq"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Yes, Data science is a good career. Data science is a buzzword now. <a href="https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century" target="_blank">Harvard Business declared data scientist as the sexiest job of the 21st century</a> The Data science sector grew 650% since 2012 and the future is even better since data has surpassed oil in value. The <a href="https://www.bls.gov/" target="_blank">US Bureau of Labor Statistics</a> forecasted that demand for data science skills will increase by 27.9% by 2026. The benefits of a career in data science are - </p> <ul> <li>High Demand for Data Scientists</li> <li>Less Competition</li> <li>High Pay</li> <li>Opportunities for Growth</li> <li>Variety of job roles</li> </ul> <p>The future is bright and promising in the data science career. Get this opportunity and be future-ready with our<strong>data science online course</strong>. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading03"> <a data-toggle="collapse" data-parent="#accordion-faq" href="#collapse03" aria-expanded="false" aria-controls="collapse03"> <h3 class="mb-0">Can I become a data scientist with an online course?<i class="fa fa-caret-down"></i></h3> </a> </div> <div id="collapse03" class="collapse" role="tabpanel" aria-labelledby="heading03" data-parent="#accordion-faq"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Yes, you can become a data scientist with an online course. It’s easier to learn data science online since the only thing required is a computer. Other advantages of the online course are: </p> <ul> <li>Flexible Timing</li> <li>Affordability</li> <li>Ability to advance a career</li> <li>Ability to learn at your own pace</li> <li>Less commute</li> </ul> <p>These are a few benefits of a <strong>data science online course</strong>. Also, our <strong>data science course</strong> provides 300+ hours of content, 80+ hours of live sessions and more than 15 tools & software. You’ll get to learn from industry professionals so that you can understand the application and clear your doubts. 6 Months internship ensures you graduate as an experienced data science professional rather than a fresher. Therefore, Yes, you can become a data scientist with an online course. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading07"> <a data-toggle="collapse" data-parent="#accordion-faq" href="#collapse07" aria-expanded="false" aria-controls="collapse07"> <h3 class="mb-0">What training does a data scientist need?<i class="fa fa-caret-down"></i></h3> </a> </div> <div id="collapse07" class="collapse" role="tabpanel" aria-labelledby="heading07" data-parent="#accordion-faq"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>Data scientist is a profession and like other professions, the same process is being followed. Therefore, you won’t need to do anything else. When you enrol in this course, we will take care of everything such as </p> <ul> <li>Career Assistance </li> <li>Interview preparation</li> <li>6 months internship</li> <li>One-on-one with industry mentors</li> <li>40+ projects and case studies</li> </ul> <p>We will make sure that you are industry-ready, and cherry on top we provide the <strong>data science course with a job assistance </strong>. So join us and start building your own new career. For more information, please contact us, we’d love to hear from you. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading10"> <a data-toggle="collapse" data-parent="#accordion-faq" href="#collapse10" aria-expanded="false" aria-controls="collapse10"> <h3 class="mb-0">Which is the best online course for data science?<i class="fa fa-caret-down"></i></h3> </a> </div> <div id="collapse10" class="collapse" role="tabpanel" aria-labelledby="heading10" data-parent="#accordion-faq"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>PG program in data science, machine learning & natural networks is the best online course for data science. This <strong>data science course</strong> covers all theoretical and practical aspects of data science from basic to advanced. Essential languages & tools are covered in this course such as </p> <ul> <li>Excel</li> <li>Python</li> <li>Tableau</li> <li>NLP</li> <li>Microsoft SQL Server</li> <li>Power BI</li> </ul> <p>Also, you’ll have the option to select an elective course according to your taste and preferences. If you have more questions or want to counsel, please contact us through call, WhatsApp or email. We’d love to help and guide you. </p> </div> </div> </div> </div> </div> <div class="card"> <div class="card-header" role="tab" id="heading11"> <a data-toggle="collapse" data-parent="#accordion-faq" href="#collapse11" aria-expanded="false" aria-controls="collapse11"> <h3 class="mb-0">What are the refund terms?<i class="fa fa-caret-down"></i></h3> </a> </div> <div id="collapse11" class="collapse" role="tabpanel" aria-labelledby="heading11" data-parent="#accordion-faq"> <div class="card-body"> <div class="row"> <div class="col-lg-12"> <p>You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms. </p> <h6>In case you have taken a loan, underlying is the loan cancellation policy.</h6> <p>If you have taken a loan from any of our Lending Partners, you must pay the Loan Instalments as per your EMI schedule as discussed with the lending company. If you default on your loan, DataTrained can stop your access to the LMS content and the Live Sessions. In case you cancel a loan in the future, you will need to pay DataTrained the following amount:</p> <ol> <li>The Interest Part of the Loan. DataTrained bears the Interest part of your loan. Upon cancellation of your loan, you will need to pay the accrued loan part to DataTrained. This is at present flat 10% of the total Loan amount.</li> <li>You will also need to pay your fee for the total months you have been with DataTrained. </li> <li>Loan Cancellation charge of 300 GBP.</li> </ol> <h6>Let's take an example to explain this:</h6> <ul> <li>Let's say you have taken a loan of 1000 GBP for a course of duration of 10 Months with 12 months of EMI tenure and have studied for 4 Months. </li> <li>Your total fee for the period you have studied (4 months) would be 100*4, that comes to 400 GBP. </li> <li>You must have paid 4 EMIs to the bank against your loan. </li> <li>Now, let's say your monthly Loan EMI is 83 GBP so, you must have paid a total Rs. 83*4, that comes to 332. </li> <li>So, you will be liable to pay, Total Fee Accrued (400 GBP) + Interest Amount Accrued so far (As per lending partners records) + Loan Cancellation Charge (300 GBP) - Total Loan EMIs amount paid (332 GBP).</li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div></section> 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