With a global inflow of rapidly generated data, professionals are sparing no efforts to extract meaningful insights for efficient business decisions. Upgrading your data science skills has never been more important.
Find out how you can leverage data-driven insights in an exclusive Ask Me Anything session with MIT Professional Education’s Applied Data Science Program alumnus, Vivan Kaul.
The session will be moderated by Milind Kopikare (President, Great Learning), as the speakers take you through the program learning experience and program curriculum designed by world renowned MIT academicians. Together, they will delve into the course structure and how Kaul’s learning journey helped his career. The session will conclude with a Q&A round for all your queries!
Join the speakers as they discuss the 12-week live virtual program featuring mentored sessions, hands-on learning and much more
Agenda for the session
- Insights on how to advance or transition your career in Data Science
- How the Program can help you achieve your career goals
- Details of Mentored learning and curriculum structure
- Live Q&A session for all your queries
About Speakers
Vivan Kaul
Head of Data, Technology and Programs at 9 Octaves
Vivan Kaul is the Head of Data, Technology and Programs at 9 Octaves. With over 20 years of experience in various roles, he is a highly skilled expert in the fields of data, analytics, consulting, programs, management and many related areas. He has managed and led teams across organisations for business growth driven technological efforts.
Milind Kopikare
President, Great Learning, North America
Milind Kopikare is the President of Great Learning, North America. An expert in digital transformation and customer experience management, he has a special interest in Data Visualization and Product Strategy. He has years of experience working at companies like Qualtrics, McKinsey and Google.
MIT Professional Education's Applied Data Science Program
The Applied Data Science Program curriculum has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of data science efforts at any organization.
