| Section |
1:30 PM |
2:00 PM |
2:30 PM |
3:00 PM |
3:30 PM |
4:00 PM |
4:30 PM |
| AI, Statistics and Analytic methods |
Use AI to Your Advantage with Legacy SAS Code |
Understanding the ROC curve and betas in logistic regression |
|
|
|
| Advanced Programming |
Teaching SAS to Read SAS |
Refining the Rough: Advanced SAS Techniques for Data Cleaning and Validation |
|
SAS Config - Always useful & seldom used. Customized LOG/LIST outputs with added information |
| Basic and Intermediate SAS Coding |
Merge with Caution: How to Avoid Common Problems when Combining SAS data sets |
Understanding the SAS DATA Step and the Program Data Vector |
|
The Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE |
| Data Visualization and Reporting |
Ten Practical Rules for Creating Effective Charts, Figures, and Visuals Using SAS |
Creating and Customizing High-Impact Excel Workbooks from SAS with ODS EXCEL |
|
Quickly Easily Understood Data Graphics: My Principles, Examples, and Code |
| Hands On-Workshops and Live Demos |
Building SAS Viya Jobs |
Getting Started with SAS Viya Workbench: SAS, Python, and R in One Analytics Environment |
|
Putting Data on the Map: Geospatial Storytelling with SAS Visual Analytics |
| Open Source Development and Tools |
Crossing the Isthmus with PROC PYTHON: A Practical Path from SAS 9 to Modern Analytics |
Building Better Data Science Workflows: Best Practices with Git, GitHub, Data Version Control (DVC), and MLflow for Open-Source Collaboration |
|
Working with Open Source in a Highly Regulated Industry |
