Business Analytics with SAS Studio
eBook - ePub

Business Analytics with SAS Studio

Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Business Analytics with SAS Studio

Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques (English Edition)

About this book

Analyzing business data points with greater precision, efficiency, and speed
Key Features
? Exposure to work on large datasets, data mining techniques, and SAS built-in functions.
? Exciting examples and a step-by-step guide to the entire field of business analytics.
? Additional support of sophisticated SQL queries and the creation of strong visualization reports.
Description
This book teaches readers how to properly use SAS (R) Studio to enhance business analytics summaries and graphical reports to make more informed business decisions. Since the examples in the book are laid out in a logical sequence, no prior knowledge is required to get started with implementing what you learn in them.
The book begins with configuring your SAS® OnDemand instance, complete with sample datasets and scripts. The book explains programming syntaxes before delving into sophisticated programming principles for managing data values and concludes with creating graphical reports for business data values. It explores how to implement datasets, read external files, execute conditional statements, loops, formats, text, date, numeric functions, and arrays. The book also helps writing SQL Statements such as joins, sets, index, views, etc. with Proc SQL, Univariate (PROC MEAN, PROC FREQ), Multivariate (PROC FREQ), and Design Graphs with the help of PROC SGPLOT.
After reading this book, readers will be able to evaluate business data values and create excellent visualizations that will assist enterprises in making more informed business decisions. Readers will become confident to use SAS Studio's rich interface and develop analytical programs.
What you will learn
? Configuring Online SAS® OnDemand for Academics.
? Writing BASE SAS Programming, and writing conditional, looping-based programs.
? Implementing SAS built-in text, date, numeric functions, and reading external data files.
? Using the SQL Statement with PROC SQL Processing.
? Plotting attractive data visualization using PROC SGPLOT.
? End-to-end case study on Employee Skill Development's Data Analytics and Visualization.
Who this book is for
This book is for those who wish to learn how to use SAS Studio's rich interface and develop an analytical program that helps make better decisions. Having a basic understanding of how data analytics works helps.
Table of Contents
1. Introducing SAS Environment
2. Starting with SAS Programming
3. Data Mining and Storage Techniques in SAS
4. Controlling the Program Flow in SAS
5. Using SAS Built-In Functions
6. Working with Advanced Data Input Techniques
7. Getting Started with SQL Processing in SAS
8. Managing Database Tables in SAS
9. Working with Dataset in SAS
10. Data Visualization and Macro Programming with SAS
11. Case Study

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Yes, you can access Business Analytics with SAS Studio by Rajinder Kr. Chitoria in PDF and/or ePUB format, as well as other popular books in Informatique & Sciences générales de l'informatique. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Reviewer
  7. Acknowledgement
  8. Preface
  9. Errata
  10. Table of Contents
  11. 1. Introducing SAS Environment
  12. 2. Starting With SAS Programming
  13. 3. Data Mining and Storage Techniques in SAS
  14. 4. Controlling the Program Flow in SAS
  15. 5. Using SAS Built-In Functions
  16. 6. Working with Advanced Data Input Techniques
  17. 7. Getting Started with SQL Processing in SAS
  18. 8. Managing Database Tables in SAS
  19. 9. Working with Dataset in SAS
  20. 10. Data Visualization and Macro Programming With SAS
  21. Case Study
  22. Index