Data Applications in PA

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Lectures

• Introduction & Overview
• Data Types & Structures
• Measurement Validity & Reliability
• Data Description
• Visualizations
• Regression
• Regression with Categories
• Regression with Interactions
• Regression with Nonlinear Variables
• Causality & Bias
• Sampling & Inference
• Hypothesis Testing
• Regression Diagnostics
• Panel Analysis

R Labs

• Introduction to R
• Import & Export Data & Documents
• Data Wrangling Part 1
• Data Wrangling Part 2
• Basic Viz
• Combining Data
• Polished Viz
• Reporting Regressions
• Omitted Variable Bias
• Forecasting