Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques
Publication details: BPB Publications 2022 New DelhiEdition: 1st EdDescription: 300ISBN:- 9789391392734
- 005.74015 CHI
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Main Library Analytics | Reference book | 005.74015 CHI (Browse shelf(Opens below)) | Available | 119470 |
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(R) 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.TABLE OF CONTENTS1. Introducing SAS Environment2. Starting with SAS Programming3. Data Mining and Storage Techniques in SAS4. Controlling the Program Flow in SAS5. Using SAS Built-In Functions6. Working with Advanced Data Input Techniques7. Getting Started with SQL Processing in SAS8. Managing Database Tables in SAS9. Working with Dataset in SAS10. Data Visualization and Macro Programming with SAS11. Case Study
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