Today, when data is often referred to as the new oil, data science and machine learning have fast emerged as aspirational skills for those looking to make data-driven business decisions. MIT Institute for Data, Systems, and Society (IDSS) has built the Data Science and Machine Learning: Making Data-Driven Decisions Program on an application-based pedagogy that will help you solve real-world business problems with data.
In an exclusive session, Prof. Philippe Rigollet (Professor of Mathematics, MIT) will elaborate on the significance of Data Science and Machine Learning in today’s world. This session would offer you a great opportunity to understand how the MIT IDSS program has been uniquely designed with features that help you translate your learnings into practical applications. If you are looking for more information about the program, curriculum, or live mentorship, Watch the Recording and you can hear all about it from Prof. Philippe Rigollet at the webinar in a conversation with Milind Kopikare (President, Great Learning).
Agenda for the session
- Why Data Science and Machine Learning? Who is the program for?
- Impact of Data Science in the world around us
- Program structure & overview
- Question/Answer session with Professor Philippe Rigollet
About Speakers
Prof. Philippe Rigollet
Professor of Mathematics, MIT
Recently named (2021) as Fellow of the Institute of Mathematical Statistics and a recipient of the NSF CAREER Award in 2015, Prof. Philippe Rigollet (Professor of Mathematics at MIT) works at the intersection of statistics, machine learning, and optimization. His works focus on the design and analysis of statistical methods for high-dimensional problems. Further, his recent research includes statistical limitations of learning under computational restraints.
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.
MIT IDSS' Data Science and Machine Learning: Making Data-Driven Decisions
The Data Science and Machine Learning: Making Data-Driven Decisions Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions.
This data science program has been designed for the needs of data professionals looking to grow their careers and enhance their data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning to deep learning, to network analytics, to recommendation systems, graph neural networks, and time series. Hence, the program is best suited for learners with prior exposure of having worked with data using some tools, and applying basic algorithms and methods.
