Hands-on Training (BYOD)

Hands-on Training (BYOD)

Hands-On Training (HoT) sessions are BYOD (Bring Your Own Device)

In person Hands-On Training sessions (HoTs) this year will be set up such that attendees should bring their own device.

Depending on the session, pre-session setup on your device may be required. SAS-related sessions will use SAS OnDemand for Academics (SODA), and attendees will need to pre-register at least 24 hours in advance (see below).

HoTs Using SAS®

The following HoTs will use SAS:

SessionPresenter(s)Software DemonstratedAttendee Software RequirementsNotes
HT-012 - SAS® Macro Programming Tips and TechniquesKirk LaflerSAS 9.4SAS 9.4 DMS| SAS EG | SAS Studio| SODA
HT-115 - Route Sixty-Six to SAS Programming, or 63 (+3) Syntax Snippets for a Table Look-up Task, or How to Learn SAS by Solving Only One Exercise!Bart Jablonski & Quentin McMullenSASNo software required. Use of SAS is optional.Bring Letter-sized paper and pencil.
HT-187 - The (ODS) Output of Your Desires: Creating Designer Reports and Data SetsLouise HaddenSAS 9.4SAS 9.4 DMS| SAS EG| SAS Studio
HT-190 - AI Performing Statistical Analysis: A Major Breakthrough in Clinical Trial Data AnalysisToshio Kimura, Siqi Wang, Weiming Du, & Songgu XieSAS 9.4SAS 9.4 DMS| SAS EG | SODA
HT-377 - Scoring Real-World Data Reliability for Clinical Investigations.James JosephSASAny version of SAS | R | Python. Programming language preferred.Attendees may use Excel as well.
HT-399 - Introduction to SAS ViyaJim BoxSAS ViyaNo software required. Bring laptop with Internet connectionFor company laptops, check VPN restrictions.

SODA is a cloud environment for accessing the SAS software (SAS Studio). You must register for SODA prior to the HoT sessions. The registration process is not instantaneous, so please register at least a day in advance (at least 24 hours before the HoT) and set up your SODA account, if you do not already have one, by following these instructions.

HoTs Using Open Source or Other Technology

The following HoTs will use Open Source or other platforms.  If you’re using a company laptop, please make sure your VPN allows you to access the HOT environment.

SessionPresenter(s)Software DemonstratedAttendee Software RequirementsNotes
HT-353 - What’s black and white and sheds all over? The Python Pandas DataFrame, the Open-Source Data Structure Supplanting the SAS® Data SetTroy HughesPython 3.11/Pandas 2.2.3Python 3.x required
HT-397 - Trying Out Positron: New IDE for Statistical ProgrammingPhil BowsherPositron | R | PythonNo software required. Bring laptop with Internet connectionFor company laptops, check VPN restrictions.
HT-398 - Hands-on Training: eTFL Portal & TFL Designer CommunityBhavin BusaeTFLNo software required. Bring laptop with Internet connectionFor company laptops, check VPN restrictions.

Need Help?

Please try to set up your BYOD device prior to the conference. It is particularly important to register for SODA ahead of time, if you plan on attending any of the SAS-related HoTs.

However, if you need assistance, we are working on scheduling a drop-in session on Sunday for testing access to HOT materials.  Details will be announced here. Please note that neither PharmaSUG nor the instructors will perform any installations on your behalf. We will only be available to help answer questions. Any installations are done on your own and you take responsibility for any software you install on your device.

 

No Laptop! No Problem!

Attendees are welcome to attend HoT sessions and watch as the instructor work through the exercises on the screen. However, we request that you please be courteous and save table space for those who are working through the exercises on their device.

Last updated: 25-May-2025