Duke University
Data Visualization and Transformation with R
Duke University

Data Visualization and Transformation with R

Taught in English


Gain insight into a topic and learn the fundamentals

Mine Çetinkaya-Rundel
Dr. Elijah Meyer

Instructors: Mine Çetinkaya-Rundel

Beginner level
No prior experience required
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Transform, visualize, summarize, and analyze data in R, with packages from the Tidyverse, using RStudio

  • Carry out analyses in a reproducible and shareable manner with Quarto

  • Learn to effectively communicate results through an optional written project version controlled with Git and hosted on GitHub

Details to know

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May 2024


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There are 3 modules in this course

Hello World! Welcome to your first module in earning your specialization in Data Science with R certificate. In the first module, you will learn about what data science is and how data science techniques are used to make meaning from data and inform data-driven decisions. There is also discussion around the importance of reproducibility in science and the techniques used to achieve this. Next, you will learn the technology languages of R, RStudio, Quarto, and GitHub, as well as their role in data science and reproducibility.

What's included

4 videos10 readings1 assignment3 discussion prompts1 plugin

In our second module, we'll advance our understanding of R to set the stage for creating data visualizations using tidyverse’s data visualization package: ggplot2. We'll learn all about different data types and the appropriate data visualization techniques that can be used to plot these data. The majority of this module is to help best understand ggplot2 syntax and how it relates to the Grammar of Graphics. By the end of this module, you will have started building up the foundation of your statistical tool-kit needed to create basic data visualizations in R.

What's included

4 videos5 readings1 assignment1 discussion prompt1 plugin

In this module, we will take a step back and learn about tools for transforming data that might not yet be ready for visualization as well as for summarizing data with tidyverse’s data wrangling package: dplyr. In addition to describing distributions of single variables, you will also learn to explore relationships between two or more variables. Finally, you will continue to hone your data visualization skills with plots for various data types.

What's included

8 videos14 readings1 assignment2 discussion prompts1 plugin


Mine Çetinkaya-Rundel
Duke University
8 Courses389,936 learners

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Duke University

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