Data Visualization and Transformation with R
Key Takeaways
Visualizes and transforms data using R and Tidyverse packages
Original Description
Learn the foundations of data science by exploring, transforming, and visualizing data with R. In this course, you’ll develop core skills in exploratory data analysis and statistical thinking including: using visualizations to uncover patterns, identifying trends, and generating insights.
You’ll gain hands-on experience with Tidyverse packages in R, work in RStudio, and create reproducible reports with Quarto. Along the way, you’ll also learn version control practices with Git and GitHub to document and share your work.
By the end of this course, you’ll be able to transform and summarize data, craft clear and informative graphics, and communicate your findings through professional, reproducible workflows - laying the groundwork for all your future data science projects.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
Stop Writing Python Classes Until You Learn The 4 Things You Can Do To Every Piece Of Data An…
Medium · Data Science
Why I Stopped Trying to Predict Electricity Price Spikes (And Built Something Better Instead)
Medium · Data Science
Why I Stopped Trying to Predict Electricity Price Spikes (And Built Something Better Instead)
Medium · Python
Arbeitszeiterfassung 2026: Unternehmen auf die neue Pflicht vorbereiten
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI