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OverviewGain 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. Full Product DetailsAuthor: Felix LiaoPublisher: SAS Institute Imprint: SAS Institute Dimensions: Width: 19.10cm , Height: 1.00cm , Length: 23.50cm Weight: 0.318kg ISBN: 9781635262599ISBN 10: 1635262593 Pages: 178 Publication Date: 11 August 2020 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsThe general analytics concepts, specifically SAS Visual Analytics advice and code-less examples shared throughout the book will help all analytics professionals in their data discovery journey using SAS Visual Analytics. A handy resource to use in experiencing the 'wonder and power of data'. Michelle Homes, Metacoda, Australia 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 The general analytics concepts, specifically SAS Visual Analytics advice and code-less examples shared throughout the book will help all analytics professionals in their data discovery journey using SAS Visual Analytics. A handy resource to use in experiencing the 'wonder and power of data'. Michelle Homes, Metacoda, Australia 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 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 Author InformationFelix Liao is a manager within the customer advisory team at SAS and is also responsible for the analytics platform product portfolio for SAS Australia and New Zealand. He has over 15 years of experience working in the Australian and New Zealand analytics market. Felix was responsible for the regional launch of SAS Viya and was also responsible for the successful launch of SAS Visual Analytics in Australia and New Zealand in 2012. He is a regular speaker and blogger on the topic of analytics, data visualization, and machine learning. A computer engineer from his undergraduate study, Felix obtained his MBA in 2009 from Macquarie University, and he is also a SAS certified data scientist. His diverse background allows him to bring a wide set of views and perspectives, which are critical in modern analytics and machine learning projects and initiatives. Tab Content 6Author Website:Countries AvailableAll regions |