With a rapid inflow of constantly generated data, professionals are sparing no efforts to extract meaningful insights for efficient business decisions. Upgrading your data analytics skills has never been more important.
Find out how you can do this in an exclusive Ask Me Anything session with MIT PE’s PGP-Applied Data Science Program alumnus Pradeep Podila (Health Scientist - Senior Service Fellow, CDC).
The session will take you through the program learning experience and what to expect from the program curriculum. Together, they will delve into the course structure and Podila’s learning journey that helped his career. The session will conclude with a Q&A round for you to resolve all your queries!
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 in 2021
- Details of Mentored learning and curriculum structure
About Speakers
Mr. Pradeep Podila
Health Scientist - Senior Service Fellow, CDC
Pradeep has about 15 years of combined multisectoral experience in Health/Public Health Informatics, Health Services/Population Health Research and Data Analytics, and Systems Support. He has volunteered as an Adjunct Professor in the Division of Health Systems Management and Policy (HSMP) in the School of Public Health at the University of Memphis.
Mr. 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. Along with experience in managing and growing SaaS businesses, he has a passion for teaching and integrating technology into transformational education.
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.
