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.
Certificate Available ✔
Get Started / More Info
This program is designed to provide the learner with a solid foundation in probability theory to prepare for the broader study of statistics. It will also introduce...
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic...
Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will...
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators,...