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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
This session covers manipulating and restructuring data in one or more related data sets and introduces loops.
Software: Stata
Duration: 120 min

Room description:

During the Fall 2021 semester, 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:
Skills Taught / Learning Outcomes:
  • Sorting datasets
  • Subsetting datasets
  • Aggregating datasets (statistics by group/level)
  • Reshaping datasets
  • Merging and appending datasets
  • Loops (foreach, forvalues, while, if/else statements)
Class Materials:
Related Classes:

Data Visualization with Tableau

Data Cleaning Using OpenRefine

Introduction to Research Data Management

Introduction to R

Additional Training Materials: guides.nyu.edu/stata
Feedback: bit.ly/feedbackds

 

Upcoming sessions for this tutorial