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Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R
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Product Details
- Business analytics has become an inseparable part of decision-making in every field of a business. This book introduces R programming language and provides a series of practice-based exercises and labs designed for students who are trying to master their decision-making and analytical skills. These exercises and labs intend to teach the students the basics of descriptive, prescriptive, and predictive analytics, as well as some advanced topics, including descriptive statistics, linear and nonlinear optimization, genetic algorithms, linear and nonlinear regression, classification, clustering, and association rule mining. The covered topics are explained using several business problems, such as production scheduling, resource allocation, customer classification and market segmentation, sales predictions, and market basket analysis, to name a few.
| Publisher | Independently published |
| Publication date | June 23, 2022 |
| Language | English |
| Print length | 351 pages |
| ISBN-13 | 979-8837870552 |
| Item Weight | 1.69 pounds (770 grams) |
| Dimensions | 7 x 0.83 x 10 inches (17.8 x 2.1 x 25.4 cm) |
Product Description
Intermediate Business Analytics: A Practical Approach to Descriptive, Prescriptive, and Predictive Analytics with R
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