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