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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes.
MATLAB is a programming language and environment for data analysis. This tutorial will introduce you to the MATLAB interface, to the basics of the language, to working with data sets in R, to visualizing them, and to implementing several common kinds of data analysis.
Software:

Computer workstations with MATLAB 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 the software prior to the tutorial.
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: Basic computer literacy, understanding files and folders
Skills Taught / Learning Outcomes:
  • Accessing MATLAB
  • Strengths, weaknesses and common applications
  • Examples of basic operations
  • Data and variable types (numeric, chars, logical, Infs, NaNs, cells, structs)
  • Flow control (conditional statements, loops)
  • Entering, storing, and importing data
  • Plotting
  • Performing basic statistical analyses
  • Common toolboxes and apps (statistics, curve-fitting, image processing)
Class Materials:
 

AllFiles.zip 
Related Classes:

Data Visualization with Tableau

Data Cleaning Using OpenRefine

Introduction to Research Data Management

Introduction to Python

Introduction to R
Additional Training Materials: guides.nyu.edu/matlab
Feedback: bit.ly/feedbackds

 

Upcoming sessions for this tutorial

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