“Dataquest was an enormously helpful tool for me to develop my data analyst skills and I credit it with getting me the job I have today.”

#### Christian L’Heureux

Analytics Manager @Epic Games Store at Epic Games

## Course overview

In data science, it’s not enough to be able to analyze data. You must also be able to create compelling visualizations to share your insights and help people understand your findings.

In this course, you’ll learn the ggplot2 package, a powerful data visualization library for R. You’ll also learn how to add and work with multiple plots in your code to show different visualizations. By the end of this course, you’ll be able to create visualizations such as line charts, bar plots, scatter plots, histograms, and box plots to help others understand your data.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, we’ll conclude with a guided data science project that uses real-world data about forest fires in Portugal.

## Key skills

• Visualizing changes over time using line graphs
• Understanding data distributions using histograms
• Comparing graphs using bar charts and box plots
• Understanding relationships between variables using scatter plots

## Course outline

### Visualizing Data with ggplot2 1h

Lesson Objectives
• Implement ggplot2 for data visualization
• Visualize changes over time using line graphs
• Analyze trends using data visualization

### Visualizing Data Distributions 1h

Lesson Objectives
• Create bar charts, histograms, and box plots
• Identify the importance of data distributions
• Visualize distributions to analyze data trends

### Visualizing Relationships Between Variables 1h

Lesson Objectives
• Visualize trends across multiple variables
• Manipulate data to create a graph
• Identify when to use different data visualization techniques

Lesson Objectives
• Create scatter plots using ggplot2
• Write a function to create multiple scatter plots
• Interpret scatter plots

### Guided Project: Analyzing Forest Fire Data 1h

Lesson Objectives
• Expand your portfolio with a data visualization project
• Identify when to use different data visualization techniques
• Answer questions using data visualization

## Projects in this course

### Guided Project: Analyzing Forest Fire Data

Use data visualization techniques to explore data on forest fires.

## The Dataquest guarantee

Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

## Master skills faster with Dataquest

### Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build confidence with our in-depth projects, and show off your data skills.

### Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Impress employers by completing a capstone project and certifying it with an expert review.

97%
of learners recommend
4.9
Dataquest rating on
G2Crowd and SwitchUp
\$30k
Average salary boost
for learners who complete a path

### Aaron Melton

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

### Jessica Ko

#### Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

### Victoria E. Guzik

#### Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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