# Course Analyzing Election and Polling Data in R

Learn R for data science by wrangling, visualizing, and modeling political data like polls and election results.

**Description**

**Chapters**

**Exercises**

**Instructor**

This **online course** about Analyzing Election and Polling Data in R covers a key part of what a future data analyst would require.

This is an introductory course to the R programming language as applied in the context of political data analysis. In this course students learn how to wrangle, visualize, and model data with R by applying data science techniques to real-world political data such as public opinion polling and election results. The tools that you’ll use in this course, from the dplyr, ggplot2, and choroplethr packages, among others, are staples of data science and can be used to analyze almost any dataset you get your hands on. Students will learn how to mutate columns and filter datasets, graph points and lines on charts, make maps, and create models to understand relationships between variables and predict the future. This course is suitable for anyone who already has downloaded R and knows the basics, like how to install packages.

Enroll now in this *Analyzing Election and Polling Data in R course*, and don’t miss the opportunity of learning with the best, as G Elliott Morris is. With 55 enriching exercises, 15 videos, and an estimated time of 4 hours to successfully end up the course, you will become one of the best.

**G Elliott Morris**

*Data Journalist*

Elliott Morris is a data journalist who uses applied statistics and data science techniques with R to analyze, visualize, and model political (and other) data. Before he wrote articles and code professionally, he studied government, history, and computer science at the University of Texas at Austin. He shares his work frequently on Twitter (@gelliottmorris) and writes about data in politics at his blog, The Crosstab.