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Hands-On SAS for Data Analysis

You're reading from   Hands-On SAS for Data Analysis A practical guide to performing effective queries, data visualization, and reporting techniques

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781788839822
Length 346 pages
Edition 1st Edition
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Author (1):
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Harish Gulati Harish Gulati
Author Profile Icon Harish Gulati
Harish Gulati
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Table of Contents (17) Chapters Close

Preface 1. Section 1: SAS Basics FREE CHAPTER
2. Introduction to SAS Programming 3. Data Manipulation and Transformation 4. Section 2: Merging, Optimizing, and Descriptive Statistics
5. Combining, Indexing, Encryption, and Compression Techniques Simplified 6. Power of Statistics, Reporting, Transforming Procedures, and Functions 7. Section 3: Advanced Programming
8. Advanced Programming Techniques - SAS Macros 9. Powerful Functions, Options, and Automatic Variables Simplified 10. Section 4: SQL in SAS
11. Advanced Programming Techniques Using PROC SQL 12. Deep Dive into PROC SQL 13. Section 5: Data Visualization and Reporting
14. Data Visualization 15. Reporting and Output Delivery System 16. Other Books You May Enjoy

Preface

SAS is one of the leading enterprise tools in the world today in the fields of data management and analysis. It enables faster, easier processing of data and empowers you to get valuable business insights for effective decision-making.

This book will serve as an all-encompassing, comprehensive guide that you can refer to while preparing for your SAS certification exam. After a quick walk-through of the SAS architecture and components, this book teaches you the different ways to import and read data from different sources using SAS. You will become familiar with SAS Base, the 4GL programming language, and SQL procedures, with comprehensive coverage of topics such as data management and data analysis. You will then move on to learn about the advanced aspects of macro-programming.

By the end of this book, you will be an expert in SAS programming and will be able to handle and manage your data-related problems in SAS with ease.

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