Data-driven decision making has proved immensely helpful for businesses in tackling business problems and accelerating growth. Wondering how you, too, can unlock the power of Data in your career?
Join us for an interactive Ask me Anything session on Data Science and Machine Learning: Making Data Driven Decisions with Kaase Gbakon (Commercial Lead, ANOH Gas Processing Plant) as he explores the program structure designed and taught by MIT’s Institute for Data, Systems and Society. This session will let you delve deeper into how the program features such as hands-on projects and live mentorship can help you gain industry-relevant skills.
Agenda for the session
- Insights on how to advance or transition your career in Data Science
- Details of Mentored learning and curriculum structure
- Kasse’s Learning Experience
- Live Q&A session for all your queries
About Speakers
Kaase Gbakon
Commercial Lead, ANOH Gas Processing Company
Kaase Gbakon is a Commercial Lead at ANOH Gas Processing Company, with his role involving leading the Gas Market Analysis. An experienced Business Analyst with over 15 years of experience, Gbakon has demonstrated expertise at the intersections of the energy industry, data analytics and strategy development. He views data in the context of business developing and is highly skilled in applying strategic thinking to solve corporate strategy problems.
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.
Data Science and Machine Learning: Making Data-Driven Decisions Program
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.
