Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others. In this course we will cover what data visualization is and define some of the basic types of data visualizations.
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About this Course
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Course 4 of 5 in the
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.
Course 4 of 5 in the
Approx. 16 hours to complete
English
Offered by
Syllabus - What you will learn from this course
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
2 hours to complete
ggplot2 Basics
2 hours to complete
7 readings
3 hours to complete
ggplot2: Customization
3 hours to complete
9 readings
1 hour to complete
Tables
1 hour to complete
6 readings
3 hours to complete
ggplot2: Extensions
3 hours to complete
5 readings
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

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