Expressway to Data Science: R Programming and Tidyverse Specialization

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.

What You Will 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
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Data Analysis with Tidyverse (Coursera) Coursera
University of Colorado Boulder

Data Analysis with Tidyverse (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey into the world of data analysis with 'Data Analysis with Tidyverse'. This beginner-friendly course introduces you to R programming through the user-friendly tidyverse package suite. Whether you're new to programming or an intermediate R user looking to refine your skills, this course will equip you with essential tools for data manipulation, visualization, and analysis.

Jun 8th 2026
5-12 Weeks
Programming Data Analysis R Programming
Details
R Programming and Tidyverse Capstone Project (Coursera) Coursera
University of Colorado Boulder

R Programming and Tidyverse Capstone Project (Coursera)

Statistics & Data Analysis Data Science

In this final course of the 'Expressway to Data Science: R Programming and Tidyverse' specialization, you will apply your skills in R and the tidyverse by conducting an analysis on COVID-19 data. This practical application allows you to demonstrate your proficiency with real-world datasets that have impacted global health.

Jun 1st 2026
3 Weeks
Data Analysis R Programming COVID-19
Details
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