2018 SCSUG Educational Forum
Austin, TX
SAS Studio: An Introduction – Amy Peters
Hired as a SAS instructor in 1987, Amy Peters taught classes and developed courses before taking responsibility for course development and then managing SAS Education’s Customer Service Department. She’s now in product management at SAS, responsible for SAS programmer enablement which includes SAS Studio, SAS Enterprise Guide, and the SAS University Edition.
Introduction to Machine Learning in SAS – Brett Wujek
Dr. Brett Wujek is a Principal Data Scientist with the R&D team in the SAS Artificial Intelligence and Machine Learning division. He helps evangelize and guide the direction of capabilities and product development for artificial intelligence at SAS. Prior to joining SAS, Brett led the development of process integration and design exploration technologies at Dassault Systemes, helping to architect and implement industry-leading computer-aided optimization software for product design applications. His formal background is in design optimization methodologies, receiving his PhD from the University of Notre Dame for his work developing efficient algorithms for multidisciplinary design o
Trust but Verify: Empowering Data Analysts without Losing Control Using SAS® Data Management – Peter Baquero
Hired by SAS as a Financial Services Industry Consultant, Peter Baquero is a risk and data governance expert with over a decade of experience in development and implementation of enterprise analytic solutions. As a CPA Peter has been heavily involved in regulatory financial reporting for the financial services industry with a focus on solution design and implementation. Peter also has extensive experience implementing high performance analytics in Big Data environments.
Is Your Data Viable? Preparing Your Data for SAS® Visual Analytics 8.2 – Dan Paner
Daniel is the SAS Product Champion for SAS Viya Data Management. Daniel has 18 years of experience working with people, data, and technology, and specializes in cloud- and data-driven technologies. Daniel’s focus at SAS is to design data management products built with innovation, capability, and self-service; so our customers can drive the prosperity of their businesses with trusted data and analytical insight from SAS.
Causal Analysis with Observational Data: Methods and Applications (2-hour Statistics Tutorial) – Michael Lamm
Michael Lamm is a Senior Research Statistician Developer in the Advanced Regression Research Department at the SAS Institute. He currently supports the GEE and CAUSALTRT procedures in SAS/STAT. He received his Ph.D. in Statistics and Operations Research from the University of North Carolina at Chapel Hill Department.
Investigate your data with 4 Powerful SAS Languages (Half-day seminar) – Charu Shankar
SAS Senior Technical Training Specialist, Charu Shankar teaches by engaging with logic, visuals and analogies to spark critical thinking. She interviews users to recommend the right SAS training. She is a frequent blogger for the SAS Training Post. When she’s not teaching technology, Charu is passionate about helping people come alive with yoga and is a food blogger. She also helps support candidates who are looking to land work using SAS through the SAS Canada training and career development LINKED IN group. Charu has presented at over 100 SAS international user group conferences on topics related to SAS programming, SQL, DS2 programming, tips and tricks, efficiencies, new features of SAS and SAS Enterprise.
Comparing SAS® Viya® and SAS® 9.4 Capabilities: A Tale of Two SAS Platform Engines – Amy Peters
Hired as a SAS instructor in 1987, Amy Peters taught classes and developed courses before taking responsibility for course development and then managing SAS Education’s Customer Service Department. She’s now in product management at SAS, responsible for SAS programmer enablement which includes SAS Studio, SAS Enterprise Guide, and the SAS University Edition.
