Duizenden luisterboeken en ebooks in één app. Van grote klassiekers tot spannende romans, van kinderboeken tot boeken die je weer kind maken. Ontdek Storytel nu - opzeggen kan altijd.
Probeer gratisNon-fictie
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.
© 2017 SAS Institute (Ebook): 9781635260540
Publicatiedatum
Ebook: 29 maart 2017
Non-fictie
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.
© 2017 SAS Institute (Ebook): 9781635260540
Publicatiedatum
Ebook: 29 maart 2017
Onbeperkte toegang tot een oneindige bibliotheek vol verhalen - allemaal in 1 app.
Nog geen beoordelingen
Download de app om deel te nemen aan het gesprek en beoordelingen toe te voegen.
Nederlands
Nederland