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Big Data Analytics with SAS

You're reading from   Big Data Analytics with SAS Get actionable insights from your Big Data using the power of SAS

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788290906
Length 266 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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David Pope David Pope
Author Profile Icon David Pope
David Pope
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Table of Contents (17) Chapters Close

Title Page
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Setting Up the SAS Software Environment 2. Working with Data Using SAS Software FREE CHAPTER 3. Data Preparation Using SAS Data Step and SAS Procedures 4. Analysis with SAS Software 5. Reporting with SAS Software 6. Other Programming Languages in BASE SAS Software 7. SAS Software Engineers the Processing Environment for You 8. Why SAS Programmers Love SAS

Summary


You learned how to perform some descriptive analysis using the following BASE SAS statistical procedures: FREQ, CORR, and UNIVARIATE. You were also introduced to performing predictive analysis using PROC REG and learned some techniques used by data scientists to improve the predictive power of a model.

You learned how to prepare time series data for further analysis using PROC TIMEDATA and how to do a basic forecast using PROC ARIMA. You also learned a way in which SAS can work with the R programming language and how to check if their SAS environment is configured properly to allow this interaction to occur. Finally, you learned about optimization and performed an optimization analysis using PROC IML. 

In the next chapter, you will be introduced to some of the capabilities within SAS to produce reports.

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