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Coursera Project Network

Forecasting US Presidential Elections with Mixed Models

Coursera Project Network via Coursera

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Overview

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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.

Syllabus

  • Forecasting US Presidential Elections with Mixed Models
    • Welcome to this project-based course on forecasting US Presidential elections. In this project, you will learn the basics of how the US elects Presidents, mixed effects models, and how to apply them to forecast the 2020 Presidential election!

Taught by

Vinod Bakthavachalam

Reviews

4.2 rating at Coursera based on 14 ratings

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