End-to-End Data Science with SAS

A Hands-On Programming Guide

James Gearheart

$85.95 $73.47

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

SAS Institute
30 June 2020

Database design & theory; Data mining; Information architecture

Learn data science concepts with real-world examples in SAS! 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.

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 user's 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 model's 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.

By: James Gearheart
Imprint: SAS Institute
Dimensions: Height: 235mm, Width: 191mm, Spine: 20mm
Weight: 653g
ISBN: 9781642958041
ISBN 10: 1642958042
Pages: 380
Publication Date: 30 June 2020
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

James Gearheart is an experienced Senior Data Scientist and Machine Learning Engineer who has developed transformative machine learning and artificial intelligence models. He has over 20 years of experience in developing and analyzing statistical models and machine learning products that optimize business performance across several industries including digital marketing, financial services, public health care, environmental services, social security and worker's compensation. James has been both a data science manager and an individual contributor on projects ranging from logistics, anti-money laundering, CRM, cash demand forecasting, customer segmentation, digital marketing, A/B testing, attribution and attrition. His research interests include applied data science, machine learning, and artificial intelligence.

Reviews for End-to-End Data Science with SAS: A Hands-On Programming Guide

Finally, a data science book that is not too technical or too complicated to understand! James Gearheart's new book, End-to-End Data Science with SAS(R): A Hands-On Programming Guide, is the right book at the right time. James does a great job of breaking down the complexity of data science projects into organized and manageable components so that anyone with a limited background or experience can benefit from his unique approach. James ties his strong understanding of the data in real-world applications to control data volume and apply advanced analytics to identify patterns and conclusions in the data. 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