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Elliott Allan C., Woodward Wayne A. SAS Essentials: Mastering SAS for Data Analytics

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Elliott Allan C., Woodward Wayne A. SAS Essentials: Mastering SAS for Data Analytics
3rd Edition. — Wiley, 2023. — 576 p. — ISBN: 9781119901617.
Valuable step-by-step introduction to using SAS statistical software as a foundational approach to data analysis and interpretation.
Presenting a straightforward introduction from the ground up, SAS Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses.
This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, factor analysis, and sections on character functions, variable manipulation, merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform.
The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors.
Data analytics is the process of gathering and using data to understand some process, predict a future outcome, or make a decision. The SAS system is a powerful software program designed to give data analysts a wide variety of both data management and data analysis capabilities. Although SAS has millions of users worldwide, it is not the most straightforward program to learn. With that in mind, we’ve created this book to provide you with a straightforward approach to learning SAS that can help you surmount the learning curve and successfully use SAS for data analysis. Two main concepts are involved in learning SAS: (1) how to get data into SAS and ready for analysis using the SAS programming language and (2) how to perform the desired data analysis.
Specific sample topics covered in SAS Essentials include:
Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS.
Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions.
Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management.
I am using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports.
SAS Essentials is a fundamental study resource for professionals preparing for the SAS Base Certification Exam, as well as an ideal textbook for courses in statistics, data analytics, applied SAS programming, and statistical computer applications.
Data Manipulation and the SAS Programming Language
Getting Started.
Getting Data into SAS.
Reading, Writing and Importing Data.
Preparing Data for Analysis.
Preparing to Use SAS Procedures.
Preparing Data for Analysis SAS Advanced Programming Topics Part 2.
Controlling Output Using ODS.
Introduction to PROC SQL.
Statistical Analysis Using SAS Procedures
Evaluating Quantitative Data.
Analyzing Counts and Tables 2.
Comparing Means Using T-Tests.
Correlation and Regression.
Analysis of Variance.
Analysis of Variance, Part II.
Nonparametric Analysis.
Logistic Regression.
Factor Analysis.
Creating Custom Graphs.
Creating Custom Reports.
Options Reference SAS Function Reference.
Choosing a SAS Procedure SAS Code Examples.
Using SAS Ondemand for Academics with SAS Essentials SAS Example BASE Exam Questions.
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