Data Wrangling in R
With Mike Chapple
Liked by 534 users
Duration: 2h 51m
Skill level: Intermediate
Released: 7/22/2021
Course details
The tidy format provides a standardized way of organizing data values within a dataset. By leveraging tidy data principles, statisticians, analysts, and data scientists can spend less time cleaning data and more time tackling the more compelling aspects of data analysis. In this course, learn about the principles of tidy data, discover how to create and manipulate data tibbles, and find out how to use the tibbles in importing, transforming, and cleaning your data. Instructor Mike Chapple uses R and the tidyverse packages to teach the concept of data wrangling—the data cleaning and data transformation tasks that consume a substantial portion of analysts' time. He wraps up with three hands-on case studies that reinforce the data wrangling principles and tactics covered in this course.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Meet the instructor
Learner reviews
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Shikha D.
Shikha D.
Strategic Data Analyst | Transforming Complex Data into Actionable Insights | Python, SQL, & Power BI
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Odunola Atitebi
Odunola Atitebi
Public Health |Monitoring and evaluation | Early career researcher |Health Analytics
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Hafizullah Khan
Hafizullah Khan
10 years plus in public health, yet have so much to learn and contribute.
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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