This hands-on course provides comprehensive training in two leading business intelligence tools: Power BI and Tableau. Participants will learn to create interactive dashboards, develop advanced visualizations, and build robust reporting solutions using both platforms. The program covers data preparation, visualization design, dashboard development, and deployment strategies for enterprise BI solutions. Through practical exercises and real-world scenarios, attendees will develop the skills to leverage these powerful tools for effective data analysis and business storytelling.
Business Intelligence Tools: Power BI and Tableau
Information Technology and Digital Systems
October 25, 2025
Introduction
Objectives
Key learning objectives for this course include:
- Master data visualization principles and best practices
- Develop interactive dashboards in both Power BI and Tableau
- Implement data preparation and transformation processes
- Create advanced calculations and analytics
- Design effective reports for different user audiences
- Implement security and governance for BI solutions
- Optimize performance of reports and dashboards
- Develop deployment and distribution strategies
- Compare and contrast Power BI and Tableau capabilities
Target Audience
- Business Intelligence Developers
- Data Analysts
- Business Analysts
- Report Developers
- IT Professionals
- Data Scientists
- Managers needing reporting skills
- Financial Analysts
Methodology
- Hands-on tool exercises and labs
- Dashboard development projects
- Case studies of BI implementations
- Data visualization critique sessions
- Performance optimization workshops
- Tool comparison discussions
- Individual portfolio development
Personal Impact
- Enhanced data visualization and dashboard design skills
- Improved data analysis and interpretation abilities
- Stronger technical proficiency in leading BI tools
- Increased confidence in BI solution development
- Better business storytelling with data
- Professional growth in BI and analytics career
Organizational Impact
- Improved data-driven decision making
- Enhanced self-service BI capabilities
- Reduced reporting development time
- Better insights from business data
- Increased user adoption of BI tools
- Stronger competitive intelligence
Course Outline
BI Fundamentals
Tool Overview- Power BI vs. Tableau comparison
- BI tool architecture and components
- Data visualization best practices
- BI project lifecycle
- Data source connections
- Data transformation techniques
- Data modeling concepts
- Data quality considerations
Power BI Core Skills
Data Modeling- Power Query for data transformation
- Data model relationships
- DAX formula language basics
- Calculated columns and measures
- Basic chart types and usage
- Interactive report design
- Report formatting and themes
- Bookmarks and selection controls
Power BI Advanced Features
Advanced DAX- Time intelligence functions
- Advanced filter contexts
- Calculation groups
- Performance optimization
- Power BI Service administration
- Data gateway configuration
- Row-level security
- Power BI Premium features
Tableau Core Skills
Data Connection- Tableau data connection options
- Data blending and relationships
- Extract vs. live connections
- Data preparation in Tableau
- Tableau interface and workspace
- Basic chart creation
- Filters and parameters
- Dashboard layout and design
Tableau Advanced Features
Advanced Analytics- Tableau calculations (LOD expressions)
- Advanced chart types
- Statistical analysis features
- Mapping and spatial analysis
- Tableau Server administration
- User management and security
- Content migration
- Performance monitoring
Dashboard Design
Design Principles- Visual design best practices
- Color theory and accessibility
- User experience considerations
- Mobile dashboard design
- Drill-down and hierarchy navigation
- Tooltip customization
- Action filters and highlights
- Story points and narration
Implementation Strategy
Tool Selection- When to use Power BI vs. Tableau
- Cost-benefit analysis
- Integration with existing systems
- Future roadmap considerations
- Development standards
- Version control and documentation
- User training and support
- Center of Excellence establishment
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