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.
Related LibGuide:
R for Business Guide by Kevin Thomas
Date:
Tuesday, September 12, 2023
Location:
Yablon Financial Resources Lab, room 244
Campus:
Lippincott Library