About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
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Beginner Level

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

Approx. 37 hours to complete
English

What you will learn

  • Describe the R programming language and its programming environment

  • Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors

  • Describe the options for generating visualizations in R

  • Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content

Skills you will gain

  • R Programming
  • Data Analysis
  • Data Visualization (DataViz)
  • R Markdown
  • Rstudio
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

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

Approx. 37 hours to complete
English

Instructor

Offered by

Placeholder

Google

Syllabus - What you will learn from this course

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Week1
Week 1
8 hours to complete

Programming and data analytics

8 hours to complete
6 videos (Total 36 min), 8 readings, 8 quizzes
Week2
Week 2
5 hours to complete

Programming using RStudio

5 hours to complete
8 videos (Total 48 min), 8 readings, 7 quizzes
Week3
Week 3
8 hours to complete

Working with data in R

8 hours to complete
8 videos (Total 41 min), 8 readings, 8 quizzes
Week4
Week 4
9 hours to complete

More about visualizations, aesthetics, and annotations

9 hours to complete
9 videos (Total 56 min), 7 readings, 9 quizzes

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