| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000045836449 | |
| 005 | 20200707110228 | |
| 008 | 150617s2015 caua 001 0 eng d | |
| 020 | ▼a 9781484200445 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.3 ▼2 23 |
| 084 | ▼a 005.3 ▼2 DDCK | |
| 090 | ▼a 005.3 ▼b K82p | |
| 100 | 1 | ▼a Konasani, Venkat Reddy. |
| 245 | 1 0 | ▼a Practical business analytics using SAS : ▼b a hands-on guide / ▼c Venkat Reddy Konasani, Shailendra Kadre. |
| 260 | ▼a [Berkeley, CA] : ▼b Apress ; ▼a New York, NY : ▼b Distributed to the book trade worldwide by Springer Science+Business Media, ▼c c2015. | |
| 300 | ▼a xxvii, 548 p. : ▼b ill. ; ▼c 26 cm.. | |
| 490 | 1 | ▼a Expert's voice in analytics |
| 500 | ▼a Includes index. | |
| 650 | 0 | ▼a SAS (Computer program language). |
| 650 | 0 | ▼a Business planning ▼x Statistical methods. |
| 650 | 0 | ▼a Big data. |
| 700 | 1 | ▼a Kadre, Shailendra. |
| 776 | 0 8 | ▼i Print version: ▼a Konasani, Venkat Reddy. ▼t Practical business analytics using SAS : a hands-on guide ▼z 9781484200438 ▼w (211009) 000046032213 |
| 830 | 0 | ▼a Expert's voice in analytics. |
| 945 | ▼a KLPA |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Main Library/Western Books/ | Call Number 005.3 K82p | Accession No. 111737629 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Table of Contents
Part One: Basics of SAS Programming for Analytics Chapter 01 Introduction to Business Analytics and Data Analysis Tools Chapter 02: SAS Introduction Chapter 03: SAS Handling Using SAS Chapter 04 : Important SAS Functions and Procs Part Two: Using SAS for Business Analytics Chapter 05 Introduction to Statistical Analysis Chapter 06 Basic Descriptive Statistics Chapter 07 Data Exploration, Validation, and Data Sanitization Chapter 08 Testing of Hypothesis Chapter 09 Correlation and Linear Regression Chapter 10 Multiple Regression Analysis Chapter 11: Logistic Regression Chapter 12: Time Series Analysis and Forecasting Chapter 13: Introducing Big Data Analytics
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