About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level

Familiarity with the R programming language

Approx. 15 hours to complete
English

What you will learn

  • Describe different data formats

  • Apply Tidyverse functions to import data into R from external formats

  • Obtain data from a web API

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
Beginner Level

Familiarity with the R programming language

Approx. 15 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week1
Week 1
3 hours to complete

Importing (and Exporting) Data in R

3 hours to complete
15 readings
Week2
Week 2
3 hours to complete

JSON, XML, and Databases

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

Web Scraping and APIs

2 hours to complete
11 readings
2 hours to complete

Foreign Formats, Images, and googledrive

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

Case Studies

4 hours to complete
11 readings
1 hour to complete

Project: Importing Data into R

1 hour to complete
2 readings

Reviews

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About the Tidyverse Skills for Data Science in R Specialization

Tidyverse Skills for Data Science in R

Frequently Asked Questions

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