Smart Data Discovery Using SAS Viya

Powerful Techniques for Deeper Insights (Hardcover edition)

By: Felix Liao

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Hardcover | 11 August 2020

At a Glance

Hardcover
178 Pages

Dimensions(cm)
23.5 x 19.05 x 1.12

Hardcover

$62.38

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Gain Powerful Insights with SAS Viya!

Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in order make critical business decisions is now crucial to every part of an organization. Smart Data Discovery with SAS Viya: Powerful Techniques for Deeper Insights provides you with the necessary knowledge and skills to conduct a smart discovery process and empower you to ask more complex questions using your data. The book highlights key components of a smart data discovery process utilizing advanced machine learning techniques, powerful capabilities from SAS Viya, and finally brings it all together using real examples and applications.

With its step-by-step approach and integrated examples, the book provides a relevant and practical guide to insight discovery that goes beyond traditional charts and graphs. By showcasing the powerful visual modeling capabilities of SAS Viya, it also opens up the world of advanced analytics and machine learning techniques to a much broader set of audiences.

Industry Reviews

In this book, you will learn what it means to be a data scientist and participant in the data-driven decision making process, regardless of your technical background. Using SAS(R) Viya(R) and real-world examples, the author takes you through a step-by-step journey of data discovery that will leave you with a greater understanding of your data and a solid foundation for advanced analytics. No matter your field of study, this is a fantastic way to learn how to make the most of your data!

Deanna (DeDe) Naomi Schreiber-Gregory

Co-owner, Operations and Finance

Independent Consultant - Statistics & Data Management

Juxdapoze, LLC

This is an exceptionally well-crafted book and is a pleasure to read. The structure of the book is logical, starting with an explanation of its purpose and intended audience. Next, it proceeds to detailed explanations of how to use SAS(R) Visual Analytics. The reader is not thrown into statistical jargon and formulas. The author takes the reader by the hand and is a helpful guide.

Jim Sattler

Satmari Software Systems

Manila, Philippines

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