Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data.
This course is part of the Tidyverse Skills for Data Science in R Specialization
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 3 of 5 in the
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 Course 3 of 5 in the
Approx. 14 hours to complete
English
Offered by
Syllabus - What you will learn from this course
4 hours to complete
Wrangling Data in the Tidyverse
4 hours to complete
19 readings
2 hours to complete
Working With Factors, Dates, and Times
2 hours to complete
14 readings
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
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
Reviews
- 5 stars70.96%
- 4 stars16.12%
- 3 stars9.67%
- 2 stars3.22%
TOP REVIEWS FROM WRANGLING DATA IN THE TIDYVERSE
by ANApr 18, 2022
Great course to get yourself acquanted with data wrangling in Tidyverse.
by LVApr 24, 2021
Excellent course! I've learned so many useful R techniques/codes!
About the Tidyverse Skills for Data Science in R Specialization

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