Upskill with MIT IDSS' Data Science & Machine Learning program | Fee: USD 1700 only!

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Hi Sir/Madam,   Along with the remarkable opportunity of learning from MIT Faculty, MIT IDSS' 10-week Data Science and Machine Learning: Making Data-Driven Decisions program includes live mentorship sessions with industry experts. This combination prepares you to make practical applications of your learnings in the 3 hands-on projects and 15+ case studies that you undertake as part of the program.  Download Brochure How is it Different from Other Programs? Meet the MIT Faculty The program is taught via recorded lectures by11 leading MIT faculty members in data science, machine learning, and AI. Few among them are: Devavrat Shah Director, Statistics and Data Science Center (SDSC), MIT  Victor Chernozhukov Professor, Economics and Institute for Data, Systems & Society (IDSS), MIT Stefanie Jegelka  X-Consortium Career Development Associate Professor, Electrical Engineering & Computer Science (EECS), MIT Apply Now What will you be able to do after Completing this Program? Understand the intricacies of Data Science techniques and their applications to real-world problems while building an industry-relevant e-portfolio Implement various Machine Learning techniques to solve complex problems and make data-driven business decisions Explore two major realms of Machine Learning, Deep Learning, and Neural Networks, and how they can be applied to areas such as Computer Vision Understand the theory behind recommendation systems and explore their applications to multiple industries and business contexts Ready to benefit from this holistic program design? Complete your application and come closer to upskilling with MIT IDSS. Delivered in collaboration with: The Data Science and Machine Learning: Making Data-Driven Decisions program by MIT Institute for Data, Systems, and Society (IDSS), with curriculum developed by MIT faculty, is delivered in collaboration with Great Learning. Great Learning is an ed-tech company that has empowered learners from over 160 countries in achieving positive outcomes for their career growth. Privacy Policy

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