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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
Stata is a software package for statistical analysis of data. This tutorial will introduce you to the basics of Stata and will cover importing, creating and editing data sets, and provide an overview of commonly used statistical procedures.
Software: Stata
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: Basic computer literacy, understanding files and folders
Skills Taught / Learning Outcomes:
  • Stata environment (Command Line, Do Files, Browse/Edit)
  • Changing the directory, setting a global macro
  • Importing data (manual entry, Stata files, Excel and CSV files)
  • Computing variables and labeling data
  • Recoding a continuous variable into a categorical variable and apply value labels
  • Descriptive statistics, frequency tables, cross-tabulation tables
  • Creating scatterplots, histograms etc...
  • Basic Analysis (t-test, chi-square, correlation, regression etc...)
  • Exporting regression output
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