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Data Preparation for Analytics Using SAS

Data Preparation for Analytics Using SAS
  

Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and cons... read full description below.

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ISBN 9781642953114
Barcode 9781642953114
Published 3 July 2019 by SAS Institute
Format Hardback
Alternate Format(s) View All (1 other possible title(s) available)
Author(s) By Svolba, Gerhard
Availability Internationally sourced; ships 6-12 working days

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Full details for this title

ISBN-13 9781642953114
ISBN-10 1642953113
Stock Available
Status Internationally sourced; ships 6-12 working days
Publisher SAS Institute
Imprint SAS Institute
Publication Date 3 July 2019
Publication Country
Format Hardback
Author(s) By Svolba, Gerhard
Category Probability & Statistics
General Theory of Computing
Mathematical & Statistical Software
Applications of Computing
Number of Pages 440
Dimensions Width: 216mm
Height: 280mm
Spine: 25mm
Weight 1,302g
Interest Age General Audience
Reading Age General Audience
NBS Text Computing: Professional & Programming
ONIX Text General/trade
Dewey Code 658.05
Catalogue Code Not specified

Description of this Book

Written for anyone involved in the data preparation process for analytics, Gerhard Svolba's Data Preparation for Analytics Using SAS offers practical advice in the form of SAS coding tips and tricks, and provides the reader with a conceptual background on data structures and considerations from a business point of view. The tasks addressed include viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, using various SAS procedures and SAS Enterprise Miner for scoring, creating meaningful derived variables for all data mart types, using powerful SAS macros to make changes among the various data mart structures, and more!

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