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Analyzing US Census Data in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Analyzing US Census Data in R course offered by Data Camp you will learn how to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Overview

Context

Analysts across industries rely on data from the United States Census Bureau in their work. 

In this Analyzing US Census Data in R course offered by Data Camp, students will learn how to work with Census tabular and spatial data in the R environment. 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. 

By the end of this course, students will explore demographic data from the Census Bureau using ggplot2 and other tidyverse tools, and make maps of Census demographic data with only a few lines of R code.

Programme Structure

Chapters

  • Census data in R with tidycensus
  • Wrangling US Census Data
  • US Census geographic data in R
  • Mapping US Census Data

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

PREREQUISITES:

  • Introduction to the Tidyverse
  • Spatial Analysis with sf and raster in R

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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