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. 14 hours to complete
English

What you will learn

  • Apply Tidyverse functions to transform non-tidy data to tidy data

  • Conduct basic exploratory data analysis

  • Conduct analyses of text data

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. 14 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week1
Week 1
4 hours to complete

Wrangling Data in the Tidyverse

4 hours to complete
19 readings
Week2
Week 2
2 hours to complete

Working With Factors, Dates, and Times

2 hours to complete
14 readings
Week3
Week 3
3 hours to complete

Working With Strings and Text and Functional Programming

3 hours to complete
13 readings
1 hour to complete

Exploratory Data Analysis

1 hour to complete
2 readings
Week4
Week 4
3 hours to complete

Case Studies

3 hours to complete
11 readings
1 hour to complete

Project: Wrangling data in the Tidyverse

1 hour to complete
1 reading

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About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

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