Data Visualization using Power BI and Tableau Training Course

This course equips participants with practical skills to transform raw data into clear, interactive, and insightful visual dashboards using Power BI and Tableau. It focuses on data modeling, dashboard design, interactive reporting, and data storytelling. Participants will learn how to communicate complex data in a simple and visually compelling way to support better decision-making in business, government, and development contexts.

Target Groups

• Data analysts and business intelligence professionals
• Business managers and decision-makers
• IT and data professionals
• Monitoring and evaluation (M&E) officers
• Finance and operations officers
• Researchers and consultants
• Government and NGO staff
• Students in business, IT, and data science
• Marketing and sales professionals
• Anyone interested in data visualization and reporting

Course Objectives

By the end of this course, participants will be able to:

• Understand principles of effective data visualization
• Use Power BI and Tableau for data analysis and reporting
• Connect and transform data from multiple sources
• Design interactive dashboards and reports
• Apply data modeling techniques for visualization
• Create meaningful charts and visual insights
• Perform basic data analysis within BI tools
• Apply filters, slicers, and interactivity features
• Communicate insights through data storytelling
• Support decision-making using visual analytics

Course Modules

Module 1: Introduction to Data Visualization

• Importance of data visualization in decision-making
• Principles of good visualization design
• Types of charts and graphs
• Common visualization mistakes
• Overview of BI tools

Module 2: Introduction to Power BI

• Power BI interface and components
• Importing and connecting data sources
• Data transformation using Power Query
• Creating basic reports
• Publishing and sharing dashboards

Module 3: Power BI Data Modeling

• Relationships between datasets
• Star and snowflake schemas
• DAX basics (Data Analysis Expressions)
• Measures and calculated columns
• Data aggregation techniques

Module 4: Power BI Dashboard Development

• Designing interactive dashboards
• Using slicers and filters
• Drill-down and drill-through features
• Visual customization techniques
• Performance optimization

Module 5: Introduction to Tableau

• Tableau interface and setup
• Connecting to data sources
• Working with worksheets and dashboards
• Basic chart creation
• Publishing dashboards

Module 6: Tableau Data Analysis and Visualization

• Data blending and joining
• Calculated fields and parameters
• Creating interactive dashboards
• Filters, actions, and interactivity
• Mapping and geospatial visualization

Module 7: Advanced Visualization Techniques

• Storytelling with dashboards
• KPI tracking and performance dashboards
• Time series and trend analysis
• Advanced chart types
• Comparative analysis visuals

Module 8: Data Preparation and Cleaning for BI Tools

• Cleaning data for visualization
• Handling missing and inconsistent data
• Data formatting and structuring
• Using Power Query and Tableau Prep basics
• Data quality considerations

Module 9: Business Applications of Data Visualization

• Financial dashboards and reporting
• Sales and marketing analytics
• Operational and supply chain dashboards
• HR and workforce analytics
• Monitoring and evaluation dashboards

Module 10: Capstone Project and Case Studies

• End-to-end dashboard development project
• Power BI or Tableau business case study
• Interactive reporting exercise
• Data storytelling presentation
• Emerging trends in data visualization, including AI-powered dashboards, real-time analytics, automated reporting systems, and self-service business intelligence platforms