Overview

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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.

Syllabus

Course 1: Introduction to R Programming and Tidyverse
- Offered by University of Colorado Boulder. This course is a gentle introduction to programming in R designed for 3 types of learners. It ... Enroll for free.

Course 2: Data Analysis with Tidyverse
- Offered by University of Colorado Boulder. This course continues our gentle introduction to programming in R designed for 3 types of ... Enroll for free.

Course 3: R Programming and Tidyverse Capstone Project
- Offered by University of Colorado Boulder. In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" ... Enroll for free.

Courses

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23 hours 20 minutes
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This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t familiar with R • you know some R programming but want to learn the tidyverse verbs You will learn to do data visualization and analysis in a reproducible manner and use functions that allow your code to be easily read and understood. You will use RMarkdown to create nice documents and reports that execute your code freshly every time it’s run and that capture your thoughts about the data along the way. This course has been designed for learners from non-STEM backgrounds to help prepare them for more advanced data science courses by providing an introduction to programming and to the R language. I am excited for you to join me on the journey! The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.
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17 hours 2 minutes
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This course continues our gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: • you want to do data analysis but don’t know programming • you know programming but aren’t too familiar with R • you know some R programming but want to learn more about the tidyverse verbs It is best taken following the first course in the specialization or if you already are familiar with ggplot, RMarkdown, and basic function writing in R. You will use learn to use readr to read in your data, dplyr to analyze your data, and stringr and forcats to manipulate strings and factors.
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9 hours 40 minutes
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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 effected all of us. Throughout the capstone, you will import COVID-19 data; clean, tidy, and join datasets; and develop visualizations. You will also provide some analysis and interpretation to your results, preparing you for your journey into data science. By the end of the course, you will have developed a report that you can add to or use to begin a data science portfolio. The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.