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Data Science for Executives

Columbia University via edX Professional Certificate


Data science is making us smarter and more innovative in so many ways. How does it all work? In this Data Science and Analytics Professional Certificate program you will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.

Taught by a distinguished team of professors at Columbia University’s Data Science Institute, this program is perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming. Aimed at organization leaders, business managers, health care professionals and anyone considering a career in data science, this program will steep learners in the fundamentals of statistics, machine learning and algorithms. It will also introduce emerging technologies such as the Internet of Things (IoT) , or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio and video. Concrete examples provided throughout the program will ensure that learners fully grasp and master key concepts.


Courses under this program:
Course 1: Statistical Thinking for Data Science and Analytics

Learn how statistics plays a central role in the data science approach.

Course 2: Machine Learning for Data Science and Analytics

Learn the principles of machine learning and the importance of algorithms.

Course 3: Enabling Technologies for Data Science and Analytics: The Internet of Things

Discover the relationship between Big Data and the Internet of Things (IoT).


Taught by

Tian Zheng, Kathy McKeown, Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, Fred Jiang, Julia Hirschberg, Michael Collins, Shih-Fu Chang , Zoran Kostic, Andrew Gelman , David Madigan, Lauren Hannah, Eva Ascarza and James Curley

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