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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes.
This tutorial introduces commonly utilized Python data visualization libraries, such as matplotlib, seaborn, and plotly.
Software: None
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:

Introduction to Python

Skills Taught / Learning Outcomes:
  • Learn to create plots in matplotlib, seaborn, and plotly 
  • Explore different ways to customize plots and create subplots 
  • Become familiar with looking into documentation of different libraries 
  • Cultivate a sense of how to apply these libraries for real-world data 
Class Materials:

Presentation Slides

Related Classes:

Introduction to Python

Data Visualization Principles

Data Visualization in Tableau

Creating Graphics in R

Additional Training Materials:

Python for Data Visualization

Feedback: bit.ly/feedbackds

Upcoming sessions for this tutorial