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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:

Computer workstations with Stata installed are available for in-person tutorials in Bobst 617. For remote tutorials, while some patrons decide to approach tutorials as a demonstration of the software, other patrons approach tutorials with a more “hands-on” approach and wish to interact with the software during the tutorial. If the latter is the case, we recommend referencing our supported software page for additional information on accessing/downloading the software prior to the tutorial.

Duration: 90 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:
 

Datasets

Syntax.do 

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