Felix 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.
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
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