Forecasting US Presidential Elections with Mixed Models

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In this Guided Project, you will:
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

In this project-based course, you will learn how to forecast US Presidential Elections. We will use mixed effects models in the R programming language to build a forecasting model for the 2020 election. The project will review how the US selects Presidents in the Electoral College, stylized facts about voting trends, the basics of mixed effects models, and how to use them in forecasting.

Skills you will develop

  • Forecasting

  • Election

  • Linear Regression

  • Statistical Models

  • Mixed Model

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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