Course Modules Breakdown
Live Module 1: Advanced DATA Step Techniques
- Array processing and iterative DO loops
- Retain statement and lag functions
- Point and end= dataset control variables
- Hash objects for fast data lookup and manipulation
Live Module 2: Advanced Macro Control and Automation
- Dynamic code generation using call symput/symget
- Controlling macro execution via %SYSCALL and indirect references
- Creating modular utility macros for repetitive tasks
- Debugging multi-layer macros with MPRINT, MLOGIC, SYMBOLGEN
Live Module 3: Advanced PROC SQL Techniques
- Nested subqueries and correlated joins
- Case logic, views, and temporary tables
- Performance tuning with indexes and pass-through SQL
- Integration with external DBMS and multi-table transformations
Live Module 4: Statistical Procedures and Output Delivery System (ODS)
- Using PROC GLM, PROC REG, and PROC LOGISTIC for modeling
- ODS customization: PDF, RTF, Excel automation
- Creating customized templates using PROC TEMPLATE
- Leveraging ODS TRACE and ODS SELECT for efficient output
Live Module 5: Error Handling, Logging & Optimization
- Best practices for SAS log interpretation and troubleshooting
- Debugging syntax and logic errors efficiently
- Benchmarking and optimizing data step logic
- Memory and CPU utilization in large datasets
Live Module 6: Capstone Project & Certification Assessment
- Real-world case: Automate analytics reporting for clinical trials or HR audits
- Deliverables: .sas files, macro utilities, ODS outputs, documentation
- Final evaluation: Written quiz + peer-reviewed code submission
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