What will I be able to do upon completing the Specialization?

By completing this Specialization, you will have a foundation in R programming for data science. You will be able to import, prepare, analyze, and visualize data using the R tidyverse library.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Expressway to Data Science: R Programming and Tidyverse Specialization

Expressway to Data Science: R Programming and Tidyverse Specialization

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

Instructor: Jane Wall

Included with Coursera Plus

Learn more

3 course series

Get in-depth knowledge of a subject

4.2

(44 reviews)

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

4.2

(44 reviews)

Beginner level

Recommended experience

4 weeks to complete

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

15 practice exercises

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

Learn more about Coursera for Business

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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

Specialization - 3 course series

R is one of the most popular languages used in the data science community and essential for any aspiring data scientist. This specialization will teach you how to do data science in R whether you are a beginning or a seasoned programmer.

You will begin this three-course specialization by reviewing the fundamentals of programming in R and the importance of creating reproducible research. Then, you will be introduced to the tidyverse where you will learn how to use R to import and tidy data, use the ggplot2 library to craft clear and insightful visualizations, and combine data from multiple sources.

By completing this specialization, you will be prepared to begin or advance your data science journey using R. It is a prerequisite for students pursuing CU Boulder’s Master of Science in Data Science.

The specialization logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.

Applied Learning Project

In Expressway to Data Science: R Programming and Tidyverse, you will complete coding exercies and quizzes to develop and refine your ability to write R code and reflect on your what you have learned. In the thrid course, R Programming and Tidyverse Capstone Project, a semi-guided capstone project using real-world data designed for you to add to your data science portfolio.

Introduction to R Programming and Tidyverse

Course 123 hours

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

R Programming, Tidyverse (R Package), Data Manipulation, Rmarkdown, Ggplot2, Data Wrangling, Statistical Programming, Data Visualization Software, Programming Principles, Data Transformation, Data Analysis, Software Installation, Data Visualization, Statistical Visualization, and Software Documentation

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

Tidyverse (R Package), Data Import/Export, Relational Databases, Data Transformation, Data Manipulation, R Programming, Ggplot2, Data Analysis, Programming Principles, Data Cleansing, and Data Structures

R Programming and Tidyverse Capstone Project

Course 39 hours

What you'll learn

Utilize R programming to import, clean, and tidy data
Analyze and interpret data using R programming

Skills you'll gain

Data Integration, Data Analysis, Data Transformation, Statistical Analysis, Data Visualization Software, Data Import/Export, Tidyverse (R Package), R Programming, Rmarkdown, Data Manipulation, Ggplot2, Communication, Data Science, Data Visualization, Data Storytelling, and Data Cleansing