| Edition |
Second edition. |
| Description |
1 online resource (181 pages) : illustrations |
| Series |
Big data, business analytics, and smart technology collection,
2333-6757
|
|
Big data, business analytics, and smart technology collection.
2333-6757
|
| Bibliography |
Includes bibliographical references (page 175) and index. |
| Contents |
Chapter 1. Business analytics -- Chapter 2. Visualization -- Chapter 3. Sampling -- Chapter 4. Hypothesis testing -- Chapter 5. Linear regression -- Chapter 6. Multiple regression -- Chapter 7. Logistic regression -- Chapter 8. Linear programming -- Chapter 9. Business analytic modeling tools. |
| Access |
Access restricted to authorized users and institutions. |
| Summary |
This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students (both undergraduateand graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts.This second edition adds material on tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER. |
| Form |
Also available in print. |
| System Details |
Mode of access: World Wide Web. |
|
System requirements: Adobe Acrobat reader. |
| Provenance |
Purchased with the Phippen Library Fund. |
| Subject |
Business intelligence.
|
|
Information visualization.
|
|
BUsiness -- Data processing.
|
|
Visual analytics.
|
| Indexed Term |
Business analytics. |
|
Forecasting. |
|
Hypothesis testing. |
|
Knowledge management. |
|
Regression. |
|
Statistical sampling. |
| Genre/Form |
Electronic books.
|
| Added Author |
Olson, David L., 1944- author.
|
|
Boyce, Wesley S., author.
|
| Other Form: |
Print version: 9781953349743 |
| ISBN |
9781953349750 e-book |
|
9781953349743 print |
|
