About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Approx. 16 hours to complete
English

What you will learn

  • Distinguish between various types of plots and their uses

  • Use the ggplot2 R package to develop data visualizations

  • Build effective data summary tables

  • Build data animations for visual storytelling

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Approx. 16 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week1
Week 1
22 minutes to complete

About This Course

22 minutes to complete
3 readings
1 hour to complete

Plot Types

1 hour to complete
7 readings
1 hour to complete

Making Good Plots

1 hour to complete
8 readings
5 minutes to complete

Plot Generation Process

5 minutes to complete
1 reading
Week2
Week 2
2 hours to complete

ggplot2 Basics

2 hours to complete
7 readings
3 hours to complete

ggplot2: Customization

3 hours to complete
9 readings
Week3
Week 3
1 hour to complete

Tables

1 hour to complete
6 readings
3 hours to complete

ggplot2: Extensions

3 hours to complete
5 readings
Week4
Week 4
3 hours to complete

Case Studies

3 hours to complete
8 readings
2 hours to complete

Project: Visualizing Data in the Tidyverse

2 hours to complete

About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

Frequently Asked Questions

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