Are you ready to get a jump start on the new year? If you’ve been wanting to brush up your SAS skills or learn something new, there’s no time like a new decade to start! SAS Press is releasing several new books in the upcoming months to help you stay on top of the latest trends and updates. Whether you are a beginner who is just starting to learn SAS or a seasoned professional, we have plenty of content to keep you at the top of your game.
Here is a sneak peek at what’s coming next from SAS Press.
For students and beginners
For beginners, we have Exercises and Projects for The Little SAS® Book: A Primer, Sixth Edition, the best-selling workbook companion to The Little SAS Book by Rebecca Ottesen, Lora Delwiche, and Susan Slaughter. Exercises and Projects for The Little SAS® Book, Sixth Edition will be updated to match the updates to the new The Little SAS® Book: A Primer, Sixth Edition. This hands-on workbook is designed to hone your SAS skills whether you are a student or a professional.
For data explorers of all levels
This free e-book explores the features of SAS® Visual Data Mining and Machine Learning, powered by SAS® Viya®. Users of all skill levels can visually explore data on their own while drawing on powerful in-memory technologies for faster analytic computations and discoveries. You can manually program with custom code or use the features in SAS® Studio, Model Studio, and SAS® Visual Analytics to automate your data manipulation and modeling. These programs offer a flexible, easy-to-use, self-service environment that can scale on an enterprise-wide level. This book introduces some of the many features of SAS Visual Data Mining and Machine Learning including: programming in the Python interface; new, advanced data mining and machine learning procedures; pipeline building in Model Studio, and model building and comparison in SAS® Visual Analytics
For health care data analytics professionals
If you work with real world health care data, you know that it is common and growing in use from sources like observational studies, pragmatic trials, patient registries, and databases. Real World Health Care Data Analysis: Causal Methods and Implementation in SAS® by Doug Faries et al. brings together best practices for causal-based comparative effectiveness analyses based on real world data in a single location. Example SAS code is provided to make the analyses relatively easy and efficient. The book also presents several emerging topics of interest, including algorithms for personalized medicine, methods that address the complexities of time varying confounding, extensions of propensity scoring to comparisons between more than two interventions, sensitivity analyses for unmeasured confounding, and implementation of model averaging.
For those at the cutting edge
Are you ready to take your understanding of IoT to the next level? Intelligence at the Edge: Using SAS® with the Internet of Things edited by Michael Harvey begins with a brief description of the Internet of Things, how it has evolved over time, and the importance of SAS’s role in the IoT space. The book will continue with a collection of chapters showcasing SAS’s expertise in IoT analytics. Topics include Using SAS Event Stream Processing to process real world events, connectivity, using the ESP Geofence window, applying analytics to streaming data, using SAS Event Stream Processing in a typical IoT reference architecture, the role of SAS Event Stream Manager in managing ESP deployments in an IoT ecosystem, how to use deep learning with Your IoT Digital, accounting for data quality variability in streaming GPS data for location-based analytics, and more!
Keep an eye out for these titles releasing in the next two months! We hope this list will help in your search for a SAS book that will get you to the next step in updating your SAS skills. To learn more about SAS Press, check out our up-and-coming titles, and to receive exclusive discounts make sure to subscribe to our newsletter.
Foresight is 2020! New books to take your skills to the next level was published on SAS Users.