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Exploratory Data Analysis in R

Intermediate
4.9+
21 reviews
Updated 12/2024
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
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RExploratory Data Analysis4 hours15 videos54 exercises3,950 XP104,878Statement of Accomplishment

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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

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2

Exploring Numerical Data

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3

Numerical Summaries

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4

Case Study

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Exploratory Data Analysis in R
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*4.9
from 21 reviews
95%
5%
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  • Shukrullah N.
    about 1 month

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

  • Crystal E.
    3 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.
    11 months

    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.
    about 1 year

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

  • Anna G.
    about 1 year

    very well explained

"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.

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

David C.

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