SAS Programming Certification

Module 1: Introduction to SAS

• SAS overview
• SAS architecture
• SAS applications
• Installation
• SAS interface
• Industry use cases

Module 2: SAS Programming Fundamentals

• SAS syntax
• Program structure
• Libraries
• Data sets
• Variables
• Comments

Module 3: Importing Data

• Excel import
• CSV import
• Text files
• Database connections
• External data
• Data validation

Module 4: DATA Step Programming

• DATA step basics
• Reading datasets
• Creating datasets
• Variable assignment
• Conditional logic
• Data processing

Module 5: Data Manipulation

• Sorting data
• Filtering records
• Merging datasets
• Appending data
• Data transformation
• Data cleaning

Module 6: PROC Procedures

• PROC PRINT
• PROC SORT
• PROC MEANS
• PROC FREQ
• PROC CONTENTS
• PROC FORMAT

Module 7: Conditional Processing

• IF-THEN logic
• WHERE statements
• DO loops
• Arrays
• Conditional execution
• Data validation

Module 8: Functions in SAS

• Character functions
• Numeric functions
• Date functions
• String manipulation
• Mathematical functions
• Missing values

Module 9: Data Summarization

• Aggregation
• Grouping
• Summary statistics
• Frequency analysis
• Cross-tabulation
• Business reporting

Module 10: Report Generation

• PROC REPORT
• PROC TABULATE
• PROC SQL
• Custom reports
• Output formatting
• Export reports

Module 11: SAS SQL Programming

• SQL basics
• SELECT statements
• Joins
• Subqueries
• Aggregation
• Database queries

Module 12: Statistical Analysis

• Descriptive statistics
• Hypothesis testing
• Correlation
• Regression
• ANOVA
• Statistical interpretation

Module 13: Data Visualization

• Charts
• Graphs
• Histograms
• Scatter plots
• Dashboards
• Visual reporting

Module 14: Macro Programming

• Macro variables
• Macro programs
• Parameters
• Automation
• Dynamic code
• Reusable scripts

Module 15: Advanced Data Processing

• Arrays
• Hash objects
• Advanced merges
• Data optimization
• Performance tuning
• Error handling

Module 16: Clinical & Business Applications

• Clinical trial data
• Financial reporting
• Marketing analytics
• Risk analysis
• Operational reporting
• Healthcare analytics

Module 17: SAS Automation

• Batch processing
• Scheduling
• Automated reports
• Workflow automation
• File processing
• Productivity techniques

Module 18: Data Quality & Governance

• Data validation
• Error checking
• Data quality
• Documentation
• Compliance
• Best practices

Module 19: Performance Optimization

• Efficient programming
• Memory optimization
• Processing speed
• Large datasets
• Debugging
• Best practices

Module 20: Real-World Analytics Projects

• Sales analysis
• Customer analytics
• Financial analysis
• Healthcare analytics
• Business reporting
• Practical exercises

Module 21: Industry Best Practices

• Coding standards
• Documentation
• Version control
• Collaboration
• Project management
• Professional practices

Module 22: Assessment Preparation

• Program revision
• Practical exercises
• Mock assessments
• Debugging practice
• Competency review
• Performance feedback

Module 23: Career Development

• Analytics portfolio
• Resume preparation
• Interview preparation
• SAS certification guidance
• Industry opportunities
• Career planning

Module 24: Final Assessment & Certification

• Programming assessment
• Practical project
• Code evaluation
• Performance review
• Certification guidance
• Future learning roadmap