Data Visualization in R |
Visualize changes over time using line graphs, analyze data distributions using histograms, compare groups using bar charts and box plots, & identify the relationships between variables using scatter plots. |
DataQuest
(free with Penn registration) |
Written materials, Lecture videos, Code exercises |
4 hrs. |
APIs and Web Scraping in R |
Query external data sources using an API with authentication; Scrape data from the web and identify tools for complex web pages. |
DataQuest
(free with Penn registration) |
Written materials, Lecture videos, Code exercises |
6 hrs. |
Data visualization |
Teach how to visualize your data using ggplot2, an R package dedicated to data visualization. |
R for Data Science
(free) |
Written materials, code exercises |
Self-paced |
R for Data Science: Analysis and Visualization |
The lessons cover the basics of getting started with R, including the installation of R and RStudio, as well as the utilization of code packages to enhance R’s capabilities. It also provides practical guidance on using R and RStudio for introductory-level data modeling, visualization, and statistical analysis. |
LinkedIn Learning
(free with Penn registration) |
Lecture video, chapter quizzes, 1 project file |
2.77 hrs. |
R Essential Training: Wrangling and Visualizing Data |
This training series provides a comprehensive introduction to R, offering detailed instructions for installing and navigating R and RStudio, along with hands-on examples ranging from exploratory graphics to neural networks. |
LinkedIn Learning
(free with Penn registration) |
Lecture video, chapter quizzes, 1 project file |
4.3 hrs. |