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SAS Viya

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May 1, 2024 3 minute read
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Data Science is an interdisciplinary field that combines elements of mathematics, statistics, computer science, and business knowledge. It is the study of data, and how to use it to solve problems and make decisions. Data science is a rapidly growing field, with many job opportunities available. SAS is a popular software suite used for data science. SAS Viya is a cloud-based platform that provides a variety of tools for data science. SAS Viya can be used for data preparation, data analysis, statistical modeling, machine learning, and more.

Why Learn SAS Viya?

Path to SAS Viya

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We've curated five courses to help you on your path to SAS Viya. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in SAS Viya.
Cover image
End-to-End Data Science with SAS
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This comprehensive guide provides a deep dive into the SAS Viya platform, covering everything from data preparation and management to advanced analytics and machine learning.
End-to-End Data Science with SAS®: A Hands-On...
Paperback
$$
End-to-End Data Science with SAS: A Hands-On...
Kindle Edition
$$
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SAS Visual Analytics for SAS Viya
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While not specifically about SAS Viya, this book provides a comprehensive overview of SAS's visual analytics capabilities, which are also available in SAS Viya.
SAS® Visual Analytics for SAS® Viya®
Paperback
$$$
SAS Visual Analytics for SAS Viya
Kindle Edition
$$$
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Machine Learning with SAS Viya
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Introduces deep learning concepts and shows how to use SAS Viya for deep learning projects.
Machine Learning with SAS Viya
Hardcover
$$
SAS/OR Technical Report
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Covers natural language processing techniques and their application in SAS Viya.
SAS/OR Technical Report
Paperback
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SAS/OR Technical Report
Kindle Edition
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Relevant careers
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Statistical Programmer
Related topics
Machine Learning
Data Mining
Big Data
Data Analytics
Cloud Computing
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