Statistical Thinking for Data Science and Analytics
School: Columbia University
Registration Link: Statistical Thinking for Data Science and Analytics
Start Date: December 14, 2015 (6 Weeks Long)
Workload: 7-10 Hours Per Week
Grades: Students can earn a verified certificate for $99 after completing all course requirements.
Instructors: Eva Ascarza, James Curley, Andrew Gelman, Lauren Hannah, David Madigan, Tian Zheng
Credentials: Each of these professors teaches at Columbia Business School. Eva Ascarza is an assistant professor in the Columbia Business School whose research is devoted to using statistical tools to identify and track changes in consumer behavior. Madigan is the dean of faculty of arts and sciences. The other professors come from the schools of psychology, political science and statistics at Columbia.
Description: This introductory course puts students in the shoes of real data scientists, so they can see how data is collected, analyzed, and manipulated to design models. As part of the course, students will examine associations, relationships between variables, probabilities, bias, regression, data visualizations, inferences, and Bayesian modeling.
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