Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques (Record no. 98720)
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000 -LEADER | |
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fixed length control field | 02557 a2200181 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240823b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789391392734 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74015 |
Cutter | CHI |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Chitoria Rajinder Kr. |
245 ## - TITLE STATEMENT | |
Title | Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques |
250 ## - EDITION STATEMENT | |
Edition statement | 1st Ed |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | BPB Publications |
Date of publication, distribution, etc | 2022 |
Place of publication, distribution, etc | New Delhi |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 300 |
520 ## - Remark | |
Summary, etc | 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<br/><br/>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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Business Analytics |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Collection Type | Full call number | Barcode | Date last seen | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Reference book | Main Library | Main Library | Analytics | 12/07/2024 | Shanti Book | 799.20 | Indian Book | 005.74015 CHI | 119470 | 12/07/2024 | 999.00 | Book |