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 Sameer Shah(VP SQL Server Database Administrator, CIT Group) 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 your career in Data Science and Machine Learning
- 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
Sameer Shah
VP SQL Server Database Administrator, CIT Group
Sameer Shah is currently working as VP SQL Server Database Administrator, CIT Group. His experience of over 14 years in the financial services sector as an IT professional has elevated his tech acumen. Shah is highly skilled in areas involving IT Strategy, Database Administration, Database Requirements, Data Analysis, Software Development Life Cycle, T-SQL, and Microsoft Products
Ajanta Chakraborty
Head of Marketing and Partnerships at Great Learning, North America
Ajanta Chakraborty is the Head of Marketing and Partnerships at Great Learning, North America. With over 15 years of work experience across industries, she has worked in roles ranging from software engineer to Principal Consultant and eventually her current profile. Ajanta is also an experienced entrepreneur and children’s book publisher, as well as an author.
Learn to Make Data-Driven Decisions by taking up the Data Science and Machine Learning course
Today's world is witnessing the impact of Cloud, AI, and many other revolutionary technologies. Data is the ultimate driving force for the evolution of these technologies. Every move that we make and activity we perform using the internet is generating enormous amounts of data. Data has become an integral part of every technology. In other words, we could say that the world is revolving around data. The vast amounts of data generated are being used in deriving the most meaningful insights and solving complex business problems. The application of data to derive insights is nothing but Data Science.
In recent times, Data Science and Machine Learning are two different fields that have attained extensive demand. Most of us get to hear these terms daily considering the revolution they have been creating. Now that we have learned what Data Science is let us now understand what Machine Learning is. Machine Learning is an important subset of Artificial Intelligence. Machine Learning deals with training the machines to think and act as humans do. In other words, Machine Learning can be defined as the set of tools and practices employed for training machines to learn from data and act as humans do.
