STEM / applied
SAS · Graduate · CS / Programming
Topics
Analytics and industry use
- PROC REG, LOGISTIC, and GLM for modeling
- Clinical/pharma workflows: SDTM/ADaM awareness (intro)
- Pharmacovigilance and regulatory reporting context
- Performance tuning the DATA step vs PROC SQL
- Scheduling batch jobs and production pipelines
Advanced data step
- Arrays and DO loops for row-wise logic
- Hash objects for lookups (intro)
- Transposing and longitudinal reshaping
- Quality control checks on imported feeds
- Integrating SAS with R/Python (optional at some sites)
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.