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Learn the foundations and power of data science

Professional Certificate in
Data Science for Executives
ColumbiaX

What you will learn

  • The history of data science, tangible illustrations of how data science and analytics are used in decision making across multiple sectors today, and expert opinion on what the future might hold
  • A practical understanding of the fundamental methods used by data scientists including; statistical thinking and conditional probability, machine learning and algorithms, and effective approaches for data visualization
  • The major components of the Internet of Things (IoT) and the potential of IoT to totally transform the way in which we live and work in the not-to-distant future
  • How data scientists are using natural language processing (NLP), audio and video processing to extract useful information from books, scientific articles, twitter feeds, voice recordings, YouTube videos and much more

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.

Expert instruction
3 skill-building courses
Self-paced
Progress at your own speed
4 months
7 - 10 hours per week

Courses in this program

  1. ColumbiaX's Data Science for Executives Professional Certificate

  2. 7–10 hours per week, for 5 weeks
    Learn how statistics plays a central role in the data science approach.
  3. 7–10 hours per week, for 5 weeks
    Learn the principles of machine learning and the importance of algorithms.
  4. 7–10 hours per week, for 5 weeks
    Discover the relationship between Big Data and the Internet of Things (IoT).
    • The use of analytics has grown exponentially in all areas, including healthcare, government, retail, e-commerce, media, manufacturing, and the service industry
    • Training in data science and analytics creates a pathway to jobs like Software Developer, Systems Engineer, Network Engineer, and Systems Administrator.

Meet your instructors

from Columbia University (ColumbiaX)
Tian Zheng
Series Creator
Columbia University
Kathy McKeown
Henry and Gertrude Rothschild Professor of Computer Science
Columbia University
Ansaf Salleb-Aouissi
Department of Computer Science
Columbia University
Cliff Stein
Professor of IEOR and of Computer Science
Columbia University
David Blei
Professor of Computer Science and Statistics
Columbia University
Itsik Peer
Associate Professor of Computer Science
Columbia University
Mihalis Yannakakis
Professor of Computer Science
Columbia University
Peter Orbanz
Assistant Professor of Statistics
Columbia University
Fred Jiang
Assistant Professor in the Electrical Engineering Department
Columbia University
Julia Hirschberg
Percy K. and Vida LW Hudson Professor of Computer Science
Columbia University
Michael Collins
Vikram S. Pandit Professor of Computer Science
Columbia University
Shih-Fu Chang
Richard Dicker Chair Professor
Columbia University
Zoran Kostic
Associate Professor of Professional Practice & Director of the MS EE Program
Columbia University
Andrew Gelman
Professor of Statistics and Political Science
Columbia University
David Madigan
Executive Vice President and Dean of Faculty of Arts and Sciences
Columbia University
Lauren Hannah
Assistant Professor in the Department of Statistics
Columbia University
Eva Ascarza
Assistant Professor of Marketing at Columbia Business School
Columbia University
James Curley
Assistant Professor of Psychology
Columbia University

Experts from ColumbiaX committed to teaching online learning

Program endorsements

At Microsoft, we see the need for skilled data professionals every day. The exponential growth in the volume of data being created is fundamentally changing our industry, and is creating amazing new career opportunities as companies consider how to unlock the insights from all of the data they’re collecting.

Chris Roy , Senior Director of Learning Services, Microsoft Corporation

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