University of Colorado Boulder
Expressway to Data Science: R Programming and Tidyverse Specialization
University of Colorado Boulder

Expressway to Data Science: R Programming and Tidyverse Specialization

Learn R Programming for Data Science. Master the fundamentals transforming and visualizing data with R

Taught in English

Some content may not be translated

Jane Wall

Instructor: Jane Wall

3,106 already enrolled

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.2

(27 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Install R and configure RStudio

  • Use the tidyverse to import, tidy, and join data

  • Create clear and effective data visualizations using the ggplot2 library

  • Develop and communicate reproducible research using RMarkdown

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

4.2

(27 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 3 course series

Introduction to R Programming and Tidyverse

Course 123 hours4.3 (31 ratings)

What you'll learn

  • By successfully completing this course, you will be able to write functions in R.

  • You will be able to analyze and visualize a data set.

  • You will be able to use RMarkdown to share documents in reports with the global R community.

Skills you'll gain

Category: Programming Principles
Category: Data Analysis
Category: Data Visualization
Category: R Programming
Category: basic statistics

Data Analysis with Tidyverse

Course 217 hours

What you'll learn

  • You will learn to identify and describe tidy data and transform a non-tidy data set to be tidy in R.

  • You will learn to analyze data between multiple related data tables.

  • You will be learn to apply regular expressions to detect patterns in strings and return matches and replace patterns with new values.

Skills you'll gain

Category: Programming Principles
Category: Data Analysis
Category: Data Manipulation
Category: Regular Expression (REGEX)
Category: R Programming

What you'll learn

  • Utilize R programming to import, clean, and tidy data

  • Analyze and interpret data using R programming

Skills you'll gain

Category: Data Analysis
Category: Communication
Category: Data Manipulation
Category: Data Visualization
Category: R Programming

Instructor

Jane Wall
University of Colorado Boulder
6 Courses22,693 learners

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