Data Analytics & Power BI Master class:

Turning Data into Strategic Insights

1. Introduction

In today’s data-driven economy, the ability to analyze, interpret, and visualize data is critical for informed decision-making. Power BI, combined with strong data analytics skills, enables professionals to transform raw data into actionable insights that drive organizational performance.

The Data Analytics & Power BI Master Class equips participants with the knowledge and practical skills to analyze complex datasets, create compelling visualizations, and deliver strategic insights to support business decisions. Participants will learn to use Power BI effectively for reporting, dashboard creation, and data storytelling.

 

2. Training Objective

This master class aims to:

• Build proficiency in data analytics principles, methods, and tools.
• Equip participants to use Power BI for data visualization, reporting, and decision support.
• Enable participants to transform raw data into actionable business insights.
• Enhance analytical thinking, data-driven problem solving, and strategic decision-making.
• Strengthen understanding of data governance, quality, and security.
• Prepare participants to apply analytics for operational efficiency, performance improvement, and strategic planning.

 

3. Targeted Group

The programme is designed for:

• Business analysts and data analysts
• Managers, executives, and decision-makers
• ICT professionals and data engineers
• Financial, HR, and operations professionals seeking analytics skills
• Project managers and consultants
• Anyone interested in leveraging Power BI for strategic insights

 

4. Course Duration

• Total Duration: 8 modules delivered over 8 days (intensive) or 4 weeks (flexible schedule)
• Delivery Format: In-person, virtual, or hybrid

 

5. Training Methodology

The master class uses an interactive, hands-on, and application-oriented approach:

• Expert-led presentations and demonstrations
• Practical exercises on real datasets
• Power BI report and dashboard creation workshops
• Group projects and case studies
• Data cleaning, transformation, and visualization exercises
• Problem-solving activities using analytics scenarios
• Capstone project to consolidate learning

 

6. Course Content

Module 1: Foundations of Data Analytics

• Introduction to data analytics concepts and methods
• Data types, sources, and structures
• Data analytics lifecycle: collection, processing, analysis, and reporting
• Key performance indicators (KPIs) and metrics

 

Module 2: Introduction to Power BI

• Overview of Power BI Desktop, Service, and Mobile
• Understanding Power BI components: datasets, reports, dashboards, and tiles
• Connecting to data sources and importing data
• Power BI interface and navigation

 

Module 3: Data Transformation & Modeling

• Data cleaning and preprocessing
• Using Power Query for ETL (Extract, Transform, Load)
• Data modeling and relationships
• Creating calculated columns and measures with DAX (Data Analysis Expressions)

 

Module 4: Data Visualization Best Practices

• Principles of effective data visualization
• Choosing appropriate chart types for analysis
• Conditional formatting and interactive elements
• Designing reports for readability and impact

 

Module 5: Advanced Analytics with Power BI

• Using DAX for advanced calculations
• Time intelligence and trend analysis
• Scenario and predictive analysis techniques
• KPIs, slicers, and filters for dynamic dashboards

 

Module 6: Power BI Service & Collaboration

• Publishing and sharing reports and dashboards
• Creating workspaces and collaborative environments
• Row-level security and access control
• Embedding Power BI visuals in applications

 

Module 7: Data-Driven Decision Making

• Translating analytics into business insights
• Creating dashboards for operational, tactical, and strategic decisions
• Data storytelling for stakeholders
• Aligning insights with organizational objectives

 

Module 8: Capstone Project & Analytics Strategy

• Designing a full Power BI solution from raw data to dashboard
• Presenting actionable insights to stakeholders
• Best practices for ongoing analytics and governance
• Capstone Project Presentation and Peer Review

 

7. Expected Outcomes

Participants will be able to:

• Apply data analytics principles to real-world business problems.
• Use Power BI to clean, transform, model, and visualize data.
• Develop interactive reports and dashboards for decision support.
• Interpret data insights and communicate them effectively to stakeholders.
• Make data-driven decisions to enhance business performance.
• Implement best practices for data governance, security, and sustainability.
• Design analytics strategies to support organizational objectives.

 

8. Certificate of Completion

Participants who complete all modules and the capstone project will receive a:

Certificate of Completion

Issued by: FOTADE Training, Research and Resource Development Centre

This certificate validates the participant’s mastery of data analytics and Power BI, demonstrating the ability to transform data into actionable strategic insights for decision-making.