Skip to Main Content

Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes.

NYU Data Services: NYU Libraries and Information Technology logo.




For assistance, reach out by chat below or submit a request

We can be reached by email at

Join our Discord server

If you've met with us before, tell us how we're doing

Service Desk and Chat

Staffed Hours: Fall 2023
     Mondays:     12pm - 5pm
   Tuesdays:    12pm - 5pm
   Wednesdays:  12pm - 5pm
   Thursdays:   12pm - 5pm
   Fridays:     12pm - 5pm

chat loading...

Learn both basic and advanced techniques for transforming data using OpenRefine, an essential open-source tool for fast clean up of tabular data in preparation for analysis.
Software: OpenRefine
Duration: 120 min

Room description:

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



Skills Taught / Learning Outcomes:
  • Learn how to use the OpenRefine interface, import and export datasets
  • Understand how OpenRefine documents changes to datasets to enable reproducible scholarship
  • Perform mass edits on data syntax to enable accurate data analysis
  • Perform automated transformations to save time in cleaning data
  • Split and join cells and columns
  • Perform built-in transformations (changing case, removing leading/trailing whitespace)
  • Be introduced to regular expressions and GREL for advanced transformations
Class Materials:

2018 Squirrel Census data

Related Classes:

Data Visualization with Tableau

Introduction to Stata

Introduction to R

Introduction to Python

Data Wrangling in R

Data Wrangling in Stata

Introduction to ArcGIS

Data Cleaning for GIS

Additional Training Materials:




Upcoming sessions for this tutorial