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 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