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Data Services Class Descriptions

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

None
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:

Websites:

Exercises/Projects:
Feedback: bit.ly/feedbackds

Upcoming sessions for this tutorial

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