What you’ll learn
- Data collection, analysis and inference
- Data classification to identify key traits and customers
- Conditional Probability-How to judge the probability of an event, based on certain conditions
- How to use Bayesian modeling and inference for forecasting and studying public opinion
- Basics of Linear Regression
- Data Visualization: How to create use data to create compelling graphics
Meet the instructors
Eva Ascarza
Assistant Professor of Marketing at Columbia Business SchoolColumbia University
James Curley
Assistant Professor of PsychologyColumbia University
Andrew Gelman
Professor of Statistics and Political ScienceColumbia University
Lauren Hannah
Assistant Professor in the Department of StatisticsColumbia University
David Madigan
Executive Vice President and Dean of Faculty of Arts and SciencesColumbia University
Tian Zheng
Series CreatorColumbia University
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