Skip to main content
HomeR

Course

Exploratory Data Analysis in R

Intermediate
4.9+
22 reviews
Updated 04/2025
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Start Course for Free

Included withPremium or Teams

RExploratory Data Analysis4 hours15 videos54 Exercises3,950 XP108,634Statement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Course Description

When your dataset is represented as a table or a database, it's difficult to observe much about it beyond its size and the types of variables it contains. In this course, you'll learn how to use graphical and numerical techniques to begin uncovering the structure of your data. Which variables suggest interesting relationships? Which observations are unusual? By the end of the course, you'll be able to answer these questions and more, while generating graphics that are both insightful and beautiful.

Prerequisites

Introduction to Statistics in RIntroduction to Data Visualization with ggplot2
1

Exploring Categorical Data

Start Chapter
2

Exploring Numerical Data

Start Chapter
3

Numerical Summaries

Start Chapter
4

Case Study

Start Chapter
Exploratory Data Analysis in R
Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll now

Don’t just take our word for it

*4.9
from 22 reviews
95%
5%
0%
0%
0%
  • Robert B.
    3 months

    Trustworthy and good teacher!

  • Shukrullah N.
    5 months

    I prefere this platform because it is student-friend and so practical.

  • Crystal E.
    8 months

    I loved this course. The instructor knew just how to present to an audience with varied experience - if I already knew something I was not bored, but if I didn't he would give just enough info so that I could keep up.

  • Edmundo M.
    about 1 year

    This course in EDA with R gives you the fundamentals on statistics measures of center and variability, as well as to how discern the shape of a distribution and determine whether it is a skew distribution. The set of data provided to look and explore the effects of scale transformation on the shape of a distribution were very interesting. The use of boxplots, density distributions, histograms and bar charts, each one with their own properties, advantages and disadvantages prepare you with a good arsenal for discovering the behavior and relations of variables in your data.

  • David C.
    over 1 year

    Got to learn a lot about what you can do with R

"Trustworthy and good teacher!"

Robert B.

"I prefere this platform because it is student-friend and so practical."

Shukrullah N.

"I loved this course. The instructor knew just how to present to an audience with varied experience - if I already knew something I was not bored, but if I didn't he would give just enough info so that I could keep up."

Crystal E.

    Join over 16 million learners and start Exploratory Data Analysis in R today!

    Create Your Free Account

    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.