R Basics: Prepare Data for Modeling and Analysis

Eager to analyze data? This hands-on experience will help you organize and format finance data, supporting your modeling or machine learning workflow.

• Import and wrangle real-world data​​
• Explore data properties​​
• Format data for statistical tests and machine-learning​

Prerequisites:

• Install R and RStudio before attending, or use Penn Libraries’ on-site computers.
• Install packages in R: install.packages(c("dplyr", "tidyr", "plyr"))
• Be comfortable creating and referencing objects in R.