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Data Analysis with SAS

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When & Where
Date: 
Thu, March 31, 2016 - 2:00 PM to 4:00 PM
Location: 
D-Lab: Convening Room (356 Barrows Hall)
Description
Type: 
Workshop

In this hands-on workshop, students will learn the basics of analyzing data using SAS. We will cover examples on how to load, merge, and process data sets as well as how to analyze them using techniques such as linear regression. The workshop will also cover topics like using arrays, identifying and handling missing values and outliers, enumerating observations by group, calculating summary statistics, and more.

Basic familiarity with SAS is assumed.

Link: 
Link to the GitHub page
Keyword: 
Quantitative Analysis
Details
Training Host: 
D-Lab
D-lab Facilitator: 
Zawadi Rucks-Ahidiana
Format Detail: 
Hands-on follow-along
Participant Technology Requirement: 
The workshop will make use of SAS Studio. Installation instructions for SAS University Edition (free) can be found here: https://github.com/dlab-berkeley/sas-intro/blob/master/INSTALLATION.md.
Register