Data Services Class Descriptions

Some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering.

• Basic computer literacy for Windows or for Mac
• Understanding file paths
• Ability to load data into R from a .csv
• Ability to load an R package
• Understanding of the names and uses of different object types in R
• Some exposure to RStudio and the Tidyverse is preferable

• What is CTA?
• Text as Data
• Text corpus construction
• Cleaning data 
• Dictionary methods, sorting, and counting 
• Overview of useful R packages 

• State of the Union R package
• Tidyverse R packages
• Quanteda R packages

• Data Wrangling in R
• Introduction to R
• Digital Tools for QDA
• Introduction to MAXQDA

Data Services Qualitative Data Analysis and Text Data Mining pages