Applying Data Science Book Reviews
Applying Data Science by Gerhard Svolba Book Summary
See how data science can answer the questions your business faces!
Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code.
The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more!
Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.
Book Name | Applying Data Science |
Genre | Computers |
Author | Gerhard Svolba |
Published | 29 March 2017, Wednesday |
Language | English |
E-Book Size | 81.15 MB |
Applying Data Science (Gerhard Svolba) Book Reviews 2024
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Download Link | Book Format |
applying-data-science-ebook.pdf | |
applying-data-science-ebook.epub | EPUB |
applying-data-science-ebook.kindle | KINDLE |
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Summary of Applying Data Science by Gerhard Svolba
The Applying Data Science book written by Gerhard Svolba was published on 29 March 2017, Wednesday in the Computers category. A total of 186 readers of the book gave the book 0 points out of 5.
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