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Expressway to Data Science

R Programming and Tidyverse

Jane Wall

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.

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What's inside

Three courses

Introduction to R Programming and Tidyverse

(0 hours)

This course introduces programming in R for learners who want to do data analysis but don’t know programming, know programming but aren’t familiar with R, or know some R programming but want to learn the tidyverse verbs.

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Data Analysis with Tidyverse

(0 hours)

This course continues our gentle introduction to programming in R for learners who want to do data analysis but don’t know programming, know programming but aren’t too familiar with R, or know some R programming but want to learn more about the tidyverse verbs.

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R Programming and Tidyverse Capstone Project

(0 hours)

In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization, you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has impacted all of us.

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Learning objectives

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

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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Time

59 hours

Level

Introductory

Via

Coursera

Institution

University of Colorado Boulder

Instructor

Jane Wall

Level

Introductory

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