Forecasting US Presidential Elections with Mixed Models provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Forecasting US Presidential Elections with Mixed Models is taught by Vinod Bakthavachalam. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.
2 hours worth of material
In progress
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.
