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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
SAS is a software package for statistical analysis of data. This tutorial will introduce you to the basics of SAS and will cover importing, creating and editing data sets, and provide an overview of commonly used statistical procedures.
Software: SAS
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:
  • SAS Interface (Editor, Libraries, Log, Results/Explorer)
  • Syntax (proc and data steps, semicolon, run;)
  • Importing data (manual, proc import, data step, import wizard)
  • Labels and formats vs. informats
  • Recoding variables with if/then statements and arrays
  • Creating new variables, transforming variables, dropping variables
  • Descriptive statistics, frequency tables, cross tabulations
  • Creating boxplot, scatterplot etc...
  • Basic analysis (t-test, correlation, ANOVA, regression)
Class Materials:
 

Dataset.csv

Syntax.sas

Material Preview 

Related Classes:

Data Visualization with Tableau

Data Cleaning Using OpenRefine

Introduction to Research Data Management

Introduction to R

Additional Training Materials: guides.nyu.edu/sas
Feedback: bit.ly/feedbackds

 

Upcoming sessions for this tutorial