Principal Technical Training Consultant, SAS
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.
Mastering the SAS® DS2 Procedure: Advanced Data Wrangling Techniques
SAS Press Bookmarks - Mark Jordan
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.