The Microsoft Power BI course at CTS College will teach students how to unlock the full potential of data. This comprehensive programme is designed to equip participants with the skills to convert raw data into clear, actionable insights and reports, including the development of dynamic dashboards and interactive visualisations. Our practical approach ensures you'll: Engage in hands-on learning through real-world projects and exercises Master Power BI's intuitive drag-and-drop interface (no coding required) Benefit from expert-led training by industry professionals Explore everything from data modelling to advanced DAX functions Discover industry-specific applications across business, finance and marketing Learn seamless integration with Excel, SQL, SharePoint and Azure Whether you're a business professional, data analyst, or IT specialist, this course will empower you to make smarter, data-driven decisions with confidence. You'll learn to harness Microsoft Power BI to analyse trends, monitor performance, and communicate data visually for maximum business impact.

What you will learn

Upon completion of this programme, students would be able to:

• Analyse and visualise data using Power BI’s tools and dashboards
• Build interactive reports that help businesses make data-driven decision
• Connect and transform data from multiple sources
• Write DAX formulas to perform advanced data analysis
• Publish and share reports securely within an organisation to the workspace
• Optimise performance of reports for large datasets

Requirements

In order to enrol for this programme, students are expected to be computer literate. A basic understanding understanding of the following would also be useful, but is not mandatory:

• Microsoft Excel (PivotTables, Formulas and Basic Data Functions)
• SharePoint Lists
• Data Management Concepts

Course Details

Course Content

This course covers the following:

1: Introduction to Power BI

• Overview of Business Intelligence and Data Analytics
• Understanding the Power BI ecosystem: Power BI Desktop, Power BI Service, Power BI Mobile
• Power BI vs. Excel vs. other BI tools

2: Data Sources and Transformation

• Connecting Power BI to different data sources: Excel, SQL, SharePoint, Dataverse and Web Data
• Cleaning and transforming data using Power Query
• Introduction to the ETL (Extract, Transform, Load) process

3: Data Modeling & Relationships

• Understanding tables, relationships, and cardinality
• Creating and managing data models
• Introduction to DAX (Data Analysis Expressions)

4: Data Visualisation and Dashboards

• Designing interactive reports and dashboards
• Using charts, graphs, maps, and slicers
• Conditional formatting, drill-through, and hierarchy visuals

5: Advanced Data Analysis with DAX

• Introduction to calculated columns, measures, and aggregation functions
• Using IF statements, SUMX, and time intelligence functions
• Optimising performance with best practices for DAX queries

6: Power BI Service and Cloud Integration

• Publishing reports to the Power BI Service
• Creating and sharing dashboards
• Setting up scheduled data refreshes and gateways

7: Security and Access Control

• Role-based security & user access permissions
• Row-level security (RLS) for restricted data access

8: Power BI and AI Features

• AI-powered data insights and natural language queries
• Using AI visuals like Decomposition Tree and Key Influencers

9: Real-World Projects and Case Studies

• Business intelligence use cases for finance, sales, and marketing analytics
• End-to-end Power BI dashboard development

10: Deployment and Best Practices

• Report performance optimisation
• Troubleshooting common issues
• Power BI licensing and enterprise deployment options

Current Offerings