000			02557 a2200181 4500
008			240823b |||||||| |||| 00| 0 eng d
020			_a9789391392734
082			_a005.74015 _bCHI
100			_aChitoria Rajinder Kr.
245			_aBusiness Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques
250			_a1st Ed
260			_bBPB Publications _c2022 _aNew Delhi
300			_a300
520			_aThis 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 Source: https://www.amazon.in/Business-Analytics-SAS-Studio-Visualizations/dp/9391392733/ref=sr_1_1?crid=2DYLSYA6KDPOH&dib=eyJ2IjoiMSJ9.7FCSkH4kbXtZh-He7HVUHg.3SMwT3gU573SWt3BxVF3t0zYarfmcfFD6i7LiX4H9mo&dib_tag=se&keywords=9789391392734&qid=1724387065&sprefix=9789391030087%2Caps%2C192&sr=8-1
650			_aBusiness Analytics
906			_aBusiness Analytics
942			_c1 _2ddc
999			_c98720 _d98720