Effective Data Storytelling using the tidyverse

Start Course for Free
Clock15 HoursCode50 Exercises
Database4500 XP

Create Your Free Account

Google LinkedInFacebook
or
By continuing you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.

Loved by learners at thousands of companies


Course Description

This course is designed to supplement and build on the content covered at <a href="http://moderndive.com">http://moderndive.com</a> and the slides at <a href="http://bit.ly/soc301-slides">http://bit.ly/soc301-slides</a>. It assumes that you have completed the <a href="https://www.datacamp.com/courses/free-introduction-to-r">Introduction to R course on DataCamp</a>.

  1. 1

    Applying R Basics

    Exploring the basics of R on a data set based on the fivethirtyeight.com "Most Police Don’t Live In The Cities They Serve" article.
    Play Chapter Now
  2. 2

    Tidy Data

    Look into tidy data properties on data sets used in articles from fivethirtyeight.com in the fivethirtyeight R package
    Play Chapter Now
  3. 3

    Scatter-plots & Line-graphs

    Create and analyze different plots relating two numerical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package
    Play Chapter Now
  4. 4

    Histograms & Boxplots

    Make and interpret different plots relating one categorical variable to one numerical variable via the ggplot2 package using datasets in and derived from the fivethirtyeight R package
    Play Chapter Now
  5. 5

    Barplots

    Generate and examine barplots displaying one categorical variable or relationships between multiple categorical variables via the ggplot2 package using datasets in and derived from the fivethirtyeight R package
    Play Chapter Now
  6. 6

    ggplot2 Review

    Identifying and creating the appropriate plot based on different types of variables using the ggplot2 package
    Play Chapter Now
  7. 7

    Filtering, Grouping, & Summarizing

    Choose a subset of rows and summarize a data frame in total and across different levels of other variables using the dplyr package
    Play Chapter Now
  8. 8

    dplyr Review

    Create a new column in a data frame, modify an existing column, and sort by one or more columns using the dplyr package. Review the main ideas of the Five Main Verbs of dplyr - filter, summarize, group_by, mutate, and arrange.
    Play Chapter Now
  9. 9

    Supplement to ModernDive textbook

    To supplement learning of the material covered at http://moderndive.com, this chapter provides a playground for you to work with the code and better understand what each of the gray chunks of R code throughout the book does.
    Play Chapter Now
Albert Y. Kim Headshot

Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College
Albert completed his Ph.D. in Statistics at the University of Washington. He is a co-author of the fivethirtyeight R package as well as ModernDive, an online textbook for introductory statistics and data science using R. Previously he worked in the Search Ads Metrics Team at Google Inc. as well as at Reed, Middlebury, and Amherst Colleges. Find out more about his work on Twitter @rudeboybert and on his webpage.
See More
Chester Ismay Headshot

Chester Ismay

See More

What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA

Join over 6 million learners and start Effective Data Storytelling using the tidyverse today!

Create Your Free Account

Google LinkedInFacebook
or
By continuing you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.