SAS Certification Prep Guide
Statistical Business Analysis Using SAS9
Nonfiction, Computers, Application Software, Business Software
| Author: | Joni N. Shreve, Donna Dea Holland | ISBN: | 9781635263503 |
| Publisher: | SAS Institute | Publication: | December 14, 2018 |
| Imprint: | SAS Institute | Language: | English |
| Author: | Joni N. Shreve, Donna Dea Holland |
| ISBN: | 9781635263503 |
| Publisher: | SAS Institute |
| Publication: | December 14, 2018 |
| Imprint: | SAS Institute |
| Language: | English |
Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam!
Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Statistical Business Analyst Using SAS®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.
This book is part of the SAS Press program.
Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam!
Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Statistical Business Analyst Using SAS®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.
This book is part of the SAS Press program.
