Hands On Training

Analyzing US Census Data in R DataCamp

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

Analysts from all industries can use data from the United States Census Bureau. This course will show students how to use the Census tabular data and the spatial data in R. It will also focus on tidycensus, which allows you to acquire data from the US Census and American Community surveys in an easy-to-use format. This course also contains the tigris package, which allows you to access Census geographic information within R.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Spatial Analysis with sf and raster in R

Introduction to the Tidyverse

What You Will Learn

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools

The course focuses on the tidycensus package for acquiring data from the decennial US Census and American Community survey in a tidyverse-friendly format, and the tigris package for accessing Census geographic data within R

Course Content

Expand all sections

Module 1: Census data in R with tidycensus

Module 2: Wrangling US Census Data

Module 3: US Census geographic data in R

Module 4: Mapping US Census Data

Course Instructors

Kyle Walker

Geography professor at TCU and spatial data science consultant

I work as a geography professor at TCU and as a spatial data science consultant. My research focuses on demographic change and migration in US cities and suburbs; demographic data visualization; and ...