In this project-based course, you will delve into the intricacies of forecasting US Presidential Elections using mixed effects models in the R programming language.
Throughout the course, you will cover how the US selects Presidents in the Electoral College and gain insights into the stylized facts about voting trends. You will also grasp the basics of mixed effects models and learn how to utilize them in forecasting.
By the end of the course, you will have developed the skills to construct a forecasting model for the US Presidential Elections using mixed effects models, equipping you with valuable insights into the election process.
Certificate Available ✔
Get Started / More Info
This program provides a solid foundation in probability theory and statistical inference, essential for data science. It equips learners with the skills to perform...
ANOVA and Experimental Design introduces students to statistical modeling, ANOVA, ANCOVA, and experimental design, emphasizing real data applications and ethical...
Managing, Describing, and Analyzing Data equips learners with essential skills in data understanding, classification, and analysis using R software, probability...
Statistical Inference for Estimation in Data Science provides essential knowledge of statistical inference, confidence intervals, and estimation techniques, empowering...