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Business analytics with SAS Studio : deliver business intelligence by combining SQL processing, insightful visualizations, and various data mining techniques / Rajinder Kr. Chitoria.

By: Material type: TextTextPublisher: India : BPB Publications, 2022Edition: 1st editionDescription: 300 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789391392734
Subject(s): DDC classification:
  • 23 006.3 c.r.b.
Contents:
1. Introducing SAS environment ‡ 2. Starting with SAS programming ‡ 3. Data mining and storage techniques in SAS ‡ 4. Controlling 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.
Summary: A practical guide to using SAS Studio for business analytics: SQL processing, data mining, built-in functions, advanced data input, visualization with PROC SGPLOT, and a real-world case study. Ideal for data professionals and students. :contentReference[oaicite:1]{index=1}
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Media and mass communication Library B4 006.3 C.R.B C.1 Available MA0002504
Total holds: 0

Includes bibliographical references.

1. Introducing SAS environment ‡ 2. Starting with SAS programming ‡ 3. Data mining and storage techniques in SAS ‡ 4. Controlling 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.

A practical guide to using SAS Studio for business analytics: SQL processing, data mining, built-in functions, advanced data input, visualization with PROC SGPLOT, and a real-world case study. Ideal for data professionals and students. :contentReference[oaicite:1]{index=1}

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