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Data Services Class Descriptions

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

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

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Come to this discussion-based session to learn about best practices, tips, and inspirations for creating versatile visualizations.

If you are currently working with data and have begun working through your data visualizations, bring your graphics to the workshop to showcase your skills or to seek feedback. Or feel free to bring in a favorite visualization you’ve encountered for discussion and technical analysis. Examples of visualizations include plots and charts (network graphs, scatterplots, histograms, line graphs, word clouds, etc.) and maps (choropleth, heat, topographic, thematic, point density, etc.)

The session will begin by dedicating time to understanding the scope and variety of visualizations available; examining best practices and the pitfalls of making good charts, tables, and maps; and building a framework that establishes goals for visualizations. The workshop will then continue with focused analysis of participants’ working visualizations.  

Please submit your visualization for the discussion ahead of time via this link.

Software: None
Duration: 90 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:
  • Basic principles of data visualization
Class Materials:
Related Classes:

Data Visualization with Tableau

Data Cleaning Using OpenRefine

Introduction to Research Data Management

Introduction to R

Additional Training Materials:


Upcoming sessions for this tutorial