Course Outline

Module 1: Introduction to AWS for Business Intelligence

• Overview of AWS BI tools and architecture
• Navigating AWS interfaces and features
• Understanding AWS data services and integrations
• Case Study: Implementing AWS BI Tools in a Retail Environment

Module 2: Data Integration and Preparation in AWS

• Connecting AWS BI tools to various data sources
• Performing data extraction, transformation, and loading (ETL)
• Managing and ensuring data quality in AWS
• Case Study: Data Preparation for a Marketing Campaign

Module 3: Advanced Reporting and Dashboard Creation

• Designing and creating interactive dashboards with AWS QuickSight
• Utilizing AWS tools for advanced reporting and visualization
• Customizing reports and visualizations for different business needs
• Case Study: Building a Sales Performance Dashboard

Module 4: Data Analysis and Insights with AWS

• Performing advanced data analysis using AWS analytics services
• Implementing machine learning and predictive analytics with AWS
• Analyzing complex data sets and deriving actionable insights
• Case Study: Predictive Analytics for Customer Retention

Module 5: Best Practices and Case Studies

• Implementing best practices for AWS BI tool deployment and performance
• Reviewing real-world case studies and practical applications
• Developing and presenting a comprehensive AWS BI project
• Case Study: Successful AWS BI Implementation in a Financial Institution