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

Jane Wall

Instructor: Jane Wall

5,208 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.2

(37 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.2

(37 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

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Colorado Boulder
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

Introduction to R Programming and Tidyverse

Course 123 hours4.3 (42 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 hours4.0 (10 ratings)

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 Courses29,778 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions