Interactive Course

Exploratory Data Analysis

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

  • 4 hours
  • 15 Videos
  • 54 Exercises
  • 34,687 Participants
  • 3,950 XP

Loved by learners at thousands of top companies:

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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.

  1. 1

    Exploring Categorical Data

    Free

    In this chapter, you will learn how to create graphical and numerical summaries of two categorical variables.

  2. Exploring Numerical Data

    In this chapter, you will learn how to graphically summarize numerical data.

  3. Numerical Summaries

    Now that we've looked at exploring categorical and numerical data, you'll learn some useful statistics for describing distributions of data.

  4. Case Study

    Apply what you've learned to explore and summarize a real world dataset in this case study of email spam.

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

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

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Andrew Bray
Andrew Bray

Assistant Professor of Statistics at Reed College

Andrew Bray is an Assistant Professor of Statistics at Reed College and lover of all things statistics and R.

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