Data Science W271
Statistical Methods for Discrete Response, Time Series, and Panel Data
A continuation of Data Science W203 (Exploring and Analyzing Data), this course trains data science students to apply more advanced methods from regression analysis and time series models. Central topics include linear regression, causal inference, identification strategies, and a wide-range of time series models that are frequently used by industry professionals. Throughout the course, we emphasize choosing, applying, and implementing statistical techniques to capture key patterns and generate insight from data. Students who successfully complete this course will be able to distinguish between appropriate and inappropriate techniques given the problem under consideration, the data available, and the given timeframe.
Due to the intensive mathematical nature of Data Science W271, students are strongly encouraged to preview the class before registering. Request access to the course preview.
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