Analyzing Election and Polling Data in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course will introduce you to R programming in the context data analysis. This course will teach students how to visualize, model, and manipulate data using R. This course will show you how to use ggplot2 and dplyr. These tools are vital for data science. They can be used to analyze any dataset. Students will learn to manipulate columns, filter data and plot lines on charts. They also create maps and make models that help predict the future. This course is open to anyone who has downloaded R and can install packages.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

What You Will Learn

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

Course Content

Expand all sections

Module 1: Presidential Job Approval Polls

Module 2: U.S. House and Senate Polling

Module 3: Election Results and Political Demography

Module 4: Predicting the Future of Politics

Course Instructors

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 profe...