A self-avowed technophile, Mark Jordan grew up in northeast Brazil as the son of Baptist missionaries. He served 20 years as a US Navy submariner, pursuing his passion for programming as a hobby. Upon retiring from the Navy, he turned his hobby into a dream job, working as a SAS programmer for 9 years in manufacturing and financial services before coming to SAS Institute in 2003. Mark teaches a broad spectrum of Foundation SAS programming classes, and has authored and co-authored the several SAS training courses.
When he isn't teaching SAS programming, Mark sporadically posts "Jedi SAS Tricks" on the SAS Training Post blog, enjoys playing with his grandchildren and great-grandchildren, hanging out at the beach and reading science fiction novels. His secret obsession is flying toys – kites, rockets, drones – though he tries (unsuccessfully) to convince his wife they are for the grandkids. Mark currently lives in Toano, VA with his wife, Lori, and their cat, the amazing Tiger Man. You can read his blog at http://go.sas.com/jedi and follow him on Twitter @SASJedi.
By This Author
Mastering the SAS® DS2 Procedure: Advanced Data Wrangling Techniques, Second Edition
By Mark Jordon
Now in its second edition, this book addresses the DS2 programming language from SAS, which combines the precise procedural power and control of the Base SAS® DATA step language with the simplicity and flexibility of SQL. DS2 provides simple, safe syntax for performing complex data transformations in parallel and enables manipulation of native database data types at full precision.
SAS® University Edition Compatible
Mastering the SAS® DS2 Procedure: Advanced Data Wrangling Techniques
*Replaced by a new edition, Mastering the SAS® DS2 Procedure: Advanced Data-Wrangling Techniques, Second Edition
SAS Press Bookmarks - Mark Jordan
Extra and Events
- A SAS user since 1986, Robert Obenchain is Principal Consultant at Risk Benefit Statistics LLC in Carmel, Indiana.
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Felicitas Kuehne is a Senior Scientist in Health Decision Science and Epidemiology and Coordinator of the Program on Causal Inference in Science at the Department of Public Health, Health Services Research and Health Technology Assessment at UMIT in Austria. She conducts decision-analytic modeling studies for causal research questions in several disease areas and teaches epidemiology and causal inference. She is the Coordinator of the HTADS course “Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching: A Practical Hands-on Workshop.”
- Prof. Uwe Siebert, MD, MPH, MSc, ScD is a Professor of Public Health, Medical Decision Making and Health Technology Assessment, and Chair of the Department of Public Health, Health Services Research and HTA at UMIT – University for Health Sciences, Medical Informatics and Technology in Austria. He is also Adjunct Professor of Health Policy and Management at the Harvard Chan School of Public Health.