SAS Certification Prep Guide

Statistical Business Analysis Using SAS9

Joni N Shreve, Donna Dea Holland

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English

SAS Institute
18 December 2018

Enterprise software; Mathematical & statistical software

Must-have study guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam! Written for both new and experienced SAS programmers, the SAS(R) Certification Prep Guide: Statistical Business Analysis Using SAS(R)9 is an in-depth prep guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling exam.

The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented.

Major topics include:

ANOVA

Linear Regression

Logistic Regression

Inputs for Predictive Modeling

Model Performance

For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.

Appendices can be found here.

By: Joni N Shreve, Donna Dea Holland
Imprint: SAS Institute
Dimensions: Height: 279mm, Width: 216mm, Spine: 24mm
Weight: 1.243kg
ISBN: 9781642951806
ISBN 10: 1642951803
Pages: 414
Publication Date: 18 December 2018
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Joni Shreve, PhD, is a senior instructor in the Stephenson Department of Entrepreneurship and Information Systems at Louisiana State University (LSU), where she has taught for more than 20 years. Dr. Shreve has been at the forefront of analytics education since 2011, when the LSU Master of Science in Analytics (MSA) program was established with support from SAS. She has been instrumental in its success, serving as director of the analytics program from 2014 to 2017. Dr. Shreve has won several teaching awards, including the 2014 Outstanding Faculty Member of the MSA program and the 2018 SAS Distinguished Professor Award from SAS Institute. Her research interests include data mining and classification analysis. In 2013, she established the Student Symposium hosted during the annual South Central SAS Users Group (SCSUG) Educational Forum, which provides students from Louisiana State University, Oklahoma State University, and the University of Alabama an opportunity to showcase their analytical skills and gain valuable feedback from industry experts. She has also served on the SCSUG Executive Committee and is a member of the 2018 and 2019 SAS Global Forum Content Delivery Team. Dr. Shreve has a PhD in Educational Psychology with an emphasis in quantitative methods and an MS in Statistics, both from the University of Georgia at Athens, and a BS in Mathematics from Louisiana State University.