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
• 38,860 Participants
• 3,950 XP

### 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. #### Numerical Summaries

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

3. #### Exploring Numerical Data

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

4. #### Case Study

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

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?

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

Devon Edwards Joseph

Lloyd's Banking Group

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

Louis Maiden

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

Ronald Bowers

Decision Science Analytics @ USAA

##### 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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##### Collaborators
• Nick Carchedi

• Tom Jeon