• Introduction to SAS Enterprise Guide
• Point-and-click data analysis concepts
• Industry use cases and applications
• Roles and responsibilities in data analytics
• Managing projects and workflows
• Data libraries and connections
• User preferences and settings
• Best practices for setup
• Connecting to enterprise data sources
• Data quality and validation
• Metadata management
• Data preparation
• Handling missing values
• Data merging and joining
• Transformation and derived variables
• Automation techniques
• Basic SQL in SAS
• Joins and aggregations
• Subqueries and optimization
• Real-world scenarios
• Regression and forecasting
• Hypothesis testing
• Predictive analytics
• Interpretation of results
• Charts, graphs, and dashboards
• Interactive reports
• KPI and business insights
• Storytelling with data
• Customization and branding
• Scheduling reports
• Alerts and notifications
• Performance monitoring
• Optimization strategies







