End-to-End Data Science with SAS

Additional Book Details

Learn data science concepts with real-world examples in SAS!<p><p>
End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary to develop machine learning models in any industry. The book covers concepts including understanding the business need, creating a modeling data set, linear regression, parametric classification models, and non-parametric classification models. Real-world business examples and example code are used to demonstrate each process step-by-step. <p><p>
Although a significant amount of background information and supporting mathematics are presented, the book is not structured as a textbook, but rather it is a users guide for the application of data science and machine learning in a business environment. Readers will learn how to think like a data scientist, wrangle messy data, choose a model, and evaluate the models effectiveness. New data scientists or professionals who want more experience with SAS will find this book to be an invaluable reference. Take your data science career to the next level by mastering SAS programming for machine learning models.<p><p>
Additional resources for this book can be found by accessing the link below.
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Book Review<p>
"Finally, a data science book that is not too technical or too complicated to understand! This is the perfect book for my Data Science with SAS class students since it will prepare them for the next generation of data automation and optimum research. The techniques learned from this book increase confidence in making important decisions while reducing risks." Sunil Gupta, Founder of SASSavvy.com<p><p>