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Wednesday, August 25, 2021
Join us for DCSUG's  (www.dcsug.net)  next meeting!! Amy Peter's, Principal Product Manager in SAS Data Management will be presenting on SAS Studio.    Date / Time:  Wednesday August 25,  3-5 PM    Register and save your spot here!   Is SAS Studio the Replacement for SAS Enterprise Guide? SAS Studio, a browser-based interface to SAS, was introduced in 9.4 and has quickly become an alternative to other popular interfaces like SAS Enterprise Guide and SAS Display Manager.  For SAS Viya, SAS Studio is the primary interface – not only replacing those two interfaces but also SAS Data Integration Studio.  SAS Studio on SAS Viya aims to provide a comfortable home for fans of the SAS 9 interfaces and is also the landing point for content migrated from SAS 9 to Viya from those interfaces.  In this session you will learn about strengths and weaknesses of SAS Studio on 9.4 and tips to help you choose between SAS Studio and SAS Enterprise Guide what’s new in SAS Studio on SAS Viya and what’s planned how SAS Enterprise Guide projects and SAS Data Integration Studio jobs are converted to SAS Studio flows on SAS Viya. Since the presenter is the product manager for SAS Studio, please come with not only your questions but your wish list and gripes so she can take those back to SAS R&D.   Bio: Amy Peters has been at SAS for 34 years and is currently a Principal Product Manager in SAS Data Management focusing on SAS Studio.  As a Base SAS programmer herself, Amy brings a programmer’s perspective to designing products to meet the evolving needs of SAS programmers around the globe.   Amy's LinkedIn Profile- amy.peters@sas.com
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  • Users Groups
Friday, September 17, 2021
The Western Users of SAS® Software (WUSS) is a non-profit  organization that exists to support local SAS® software users groups within the western region.     While we won’t be returning to our normal in-person conference format for 2021, there will be many opportunities to be a part of the WUSS community this year.  We are planning a variety of virtual content and networking events for later in the year, so please check back here often for more information.  In addition, WUSS is sponsoring a series of online training classes hosted by industry experts throughout the remainder of 2021 and into next year.   Registration is now open for Kevin Lee's Python Programming Seminar – Basics for Statistical Programmers and Statisticians.    Agenda for the seminar: Python Programming Seminar – Basics Introduction to Python for statistical programmers and statisticians Jupyter Notebook (Python programming platform) download and implementation Python Variables Type: Number, String, Lists, Dictionaries, Arrays, Data Frames Simple variable manipulation – If & For statements Python Function development and comparison with SAS Macro Import external Modules/Functions Reading and writing external data (excel, SAS datasets, Images) Data manipulation using Python Introduction of NumPy and Array Introduction of Pandas and DataFrame: DataFrame vs SAS datasets Basic data manipulation – merge, sort, variables drop/addition Create SDTM DM dataset using SAS raw datasets Please click here to view the lineup of online training classes and register!
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  • Users Groups
Wednesday, September 22, 2021
The Western Users of SAS® Software (WUSS) is a non-profit  organization that exists to support local SAS® software users groups within the western region.     While we won’t be returning to our normal in-person conference format for 2021, there will be many opportunities to be a part of the WUSS community this year.  We are planning a variety of virtual content and networking events for later in the year, so please check back here often for more information.  In addition, WUSS is sponsoring a series of online training classes hosted by industry experts throughout the remainder of 2021 and into next year.   Registration is now open for SAS Essentials (or How I Learned to Stop Worrying and Love Code) Part 1   SAS Essentials is a three-part instructor-led course that provides a thorough introduction to the basics of SAS programming including DATA steps, PROC steps, and the Output Delivery System. In these classes we focus entirely on coding, providing a fundamental education in how SAS thinks and unlocking the power to use the incredible versatility of SAS code. Whether you’re entirely new to SAS, new to coding, or just want to brush up on the fundamentals, these classes are for you.   Part 1: DATA steps and data manipulation (or How to Train Your SAS Datasets)   Together we’ll walk through the fundamental building blocks of a SAS program with a deep dive into DATA steps and data manipulation, including SAS libraries, conditional processing, functions, and more. Please click here to view the lineup of online training classes and register!
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  • Users Groups
Friday, September 24, 2021
The Western Users of SAS® Software (WUSS) is a non-profit  organization that exists to support local SAS® software users groups within the western region.     While we won’t be returning to our normal in-person conference format for 2021, there will be many opportunities to be a part of the WUSS community this year.  We are planning a variety of virtual content and networking events for later in the year, so please check back here often for more information.  In addition, WUSS is sponsoring a series of online training classes hosted by industry experts throughout the remainder of 2021 and into next year.   Registration is now open for Python Programming Seminar – Advanced with Machine Learning   The advanced Python programming seminar will cover more advanced Python programming. It is recommended for those who took morning seminar or last year’s Python course, or for those who have some knowledge, but want to learn more advanced Python programming. This seminar will also cover Machine Learning implementation using Python. Agenda for advanced Python programming seminar Simple review of basic Python Programming seminar Metadata analysis (PROC CONTENT) Advanced Programming – transpose, remove duplicate record, group-by Statistical Analysis – Pair t-test, Fisher Exact Test, Survival Analysis Data visualization – Scatter Plot, Histogram, Kaplan Meier Curves Machine Learning Introduction – concepts and theory Machine Learning Algorithm – Regression, Logistic Regression, Decision Tree Deep Learning Algorithm – Deep Neural Network (DNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) Python Machine Learning modules – Sklearn, Tensorflow, Keras Python Machine Learning workshop using image data Please click here to view the lineup of online training classes and register!
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  • Users Groups
Wednesday, October 20, 2021
Are you a part of the VA SAS Users Group?   If so, join the team via Microsoft Teams on October 20th for a special presentation from Principal Data Scientist, Melodie Rush!    In this meeting, Melody will be covering "Machine Learning in SAS." This presentation answers the questions of What is Machine Learning? And what does SAS offer for Machine Learning? Examples of specific machine learning techniques for both supervised and unsupervised projects. These algorithms include Random Forest, Gradient Boosting, Support Vector Machines, Neural Networks and K-means.   This meeting is organized, held and led by the VASUG team. Click here to join directly or call +1 872-701-0185 with the Conference ID of 783 904 628# on the date of the call.   In the meantime, want to know more about the speaker Melodie?  Melodie works in the Global Customer Success Technical Team at SAS. She received both her B.S. in Statistics and her Masters in Science of Management from North Carolina State University. Before joining SAS, Melodie worked for Research Triangle Institute as a Statistician.  Her responsibilities included implementing national and local surveys of various topics, such as health care, employee benefits, and drug abuse.  As part of her research, she has published work for both the American Statistical Association and the American Public Health Association.  After joining SAS, Melodie has developed presentations and methodology for doing many types of analysis, including data mining, machine learning, forecasting, data exploration and visualization, quality control and marketing.  She has spent the last 20 years helping companies identify and solve problems in each of these analytical areas.
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