Power BI Training Courses

Power BI Training Courses equip professionals and organisations with the practical skills required to transform raw business data into clean, interactive and decision-ready reports and dashboards.

Whether a participant is completely new to Power BI, already creating basic reports or ready to develop advanced data models and analytical solutions, our structured three-level training pathway provides a progressive route from beginner to advanced Power BI capability.

The training is practical and business-focused. Participants work with realistic datasets and learn how to connect to data, clean and transform it, build relationships between tables, create calculations, design interactive dashboards and develop reporting solutions that can be refreshed as new data becomes available.

Our Power BI Training Pathway

Level Duration Primary Focus
Beginner Power BI 8 Hours Power BI fundamentals and interactive dashboard creation
Intermediate Power BI 16 Hours Power Query, data modelling, DAX and multi-source reporting
Advanced Power BI 16 Hours Advanced DAX, sophisticated data models, performance and enterprise reporting
Complete Programme 40 Hours Beginner-to-advanced professional Power BI development
Flexible participation

Participants may attend an individual level based on their existing capability or complete the full 40-hour programme as a structured professional development pathway.

 

Level 1: Beginner Power BI Training

Duration: 8 Hours

Build your first interactive Power BI dashboard and understand the complete reporting workflow from raw data to a decision-ready report.

 

Course Purpose

The Beginner Power BI course introduces participants to the complete Power BI reporting process. It is designed for professionals with little or no previous Power BI experience who want to move from static spreadsheet reporting to interactive business intelligence.

Target Audience

  • Excel users moving into business intelligence
  • Accountants and finance professionals
  • Data analysts and aspiring analysts
  • Monitoring and evaluation professionals
  • Managers, supervisors and administrators
  • Sales, marketing and reporting professionals
  • Anyone responsible for preparing recurring business reports

Course Outline

Module 1: Introduction to Business Intelligence and Power BI

  • The concept and value of business intelligence
  • Power BI Desktop and the wider Power BI ecosystem
  • Reports, dashboards, datasets and the Power BI workflow
  • Navigating the Power BI interface
  • Common business applications of Power BI

Module 2: Getting Data into Power BI

  • Connecting to Excel workbooks
  • Importing CSV and text files
  • Understanding tables, fields and data types
  • Previewing data before loading
  • Recognising common data-quality problems

Module 3: Introduction to Power Query

  • Opening the Power Query Editor
  • Understanding applied steps
  • Renaming columns and changing data types
  • Removing unnecessary columns and filtering rows
  • Handling blanks and removing duplicates
  • Loading cleaned data into the model

Module 4: Creating Data Visualisations

  • Tables and matrices
  • Bar, column and line charts
  • Pie and donut charts
  • Cards and KPI-style visuals
  • Formatting titles, labels and values
  • Selecting the right visual for the business question

Module 5: Building Interactive Reports

  • Adding slicers and report filters
  • Managing visual interactions
  • Creating drill-down hierarchies
  • Sorting, filtering and cross-highlighting
  • Allowing users to explore information interactively

Module 6: Dashboard Design Fundamentals

  • Creating a clear visual hierarchy
  • Avoiding dashboard clutter
  • Arranging KPIs and charts logically
  • Using titles, labels and whitespace effectively
  • Designing reports for management consumption

Practical Exercise

Participants build a complete interactive Power BI dashboard from a supplied business dataset, applying the full sequence of importing, cleaning, visualising and adding report interactivity.

Learning Outcomes

  • Import and prepare data in Power BI
  • Perform basic data cleaning in Power Query
  • Create and format professional visualisations
  • Add slicers, filters and interactive navigation
  • Build a functional management dashboard
Value Proposition

Many professionals already use Excel to prepare reports but rely heavily on static tables and charts. This course provides a practical transition from spreadsheet-based reporting to interactive business intelligence.

 

 

 

Level 2: Intermediate Power BI Training

Duration: 16 Hours

Move from basic dashboards to professional data models, reusable calculations and automated multi-source reporting.

 

Course Purpose

The Intermediate Power BI course is designed for users who understand basic report creation and want to develop more sophisticated, scalable and reusable reporting solutions. The course moves beyond individual charts to focus on Power Query, multiple data sources, table relationships, data modelling and DAX.

Target Audience

  • Existing Power BI users
  • Business and data analysts
  • Accountants and finance teams
  • Monitoring and evaluation professionals
  • Reporting specialists and MIS officers
  • Operations professionals
  • Staff responsible for recurring management reports

Day 1: Data Preparation and Data Modelling

Module 1: Advanced Data Import and Power Query

  • Connecting to multiple data sources
  • Managing data types correctly
  • Splitting and merging columns
  • Replacing and transforming values
  • Creating conditional and custom columns
  • Grouping and aggregating data
  • Managing errors and missing values
  • Developing repeatable data-cleaning processes

Module 2: Combining Data

  • Appending tables
  • Merging queries
  • Understanding append versus merge
  • Combining monthly and quarterly files
  • Consolidating data from branches or departments
  • Creating repeatable data-consolidation workflows

Module 3: Folder-Based Data Consolidation

  • Importing multiple files from a folder
  • Standardising recurring source files
  • Automatically combining new files
  • Designing refreshable monthly reporting workflows
  • Reducing repetitive data preparation

Module 4: Data Modelling

  • Fact and dimension tables
  • Primary and foreign keys
  • One-to-many relationships
  • Relationship direction
  • Active and inactive relationships
  • Star schema principles
  • Common modelling mistakes

Day 2: DAX and Professional Reporting

Module 5: Introduction to DAX

  • Calculated columns versus measures
  • Implicit versus explicit calculations
  • SUM, AVERAGE, COUNT and DISTINCTCOUNT
  • DIVIDE and IF
  • Building reusable business measures

Module 6: Understanding Filter Context

  • Row context and filter context
  • How slicers affect measures
  • Using CALCULATE
  • Removing and modifying filters
  • Understanding why measures change across visuals

Module 7: Time-Based Analysis

  • Creating a date table
  • Year-to-date and month-to-date analysis
  • Previous-period comparisons
  • Monthly and quarterly trends
  • Growth and variance calculations

Module 8: Advanced Report Interactivity

  • Drill-through pages
  • Report tooltips
  • Bookmarks and buttons
  • Page navigation
  • Dynamic filtering and user-guided exploration

Module 9: Publishing and Refresh

  • Publishing reports
  • Understanding workspaces
  • Sharing and access considerations
  • Data refresh concepts
  • Maintaining recurring reports
  • Power BI Desktop versus Power BI Service

Practical Project

Participants receive multiple business files that must be cleaned, appended and merged before being transformed into a relational data model and interactive management dashboard.

Learning Outcomes

  • Combine multiple data sources
  • Automate recurring data preparation
  • Create a relational data model
  • Write essential DAX measures
  • Build sophisticated interactive reports
  • Understand publishing and refresh workflows
Value Proposition

The Intermediate course moves participants from creating charts to building reporting systems. It is especially valuable for organisations that consolidate recurring data from different months, branches, departments, projects or business units.

 

 

 

Level 3: Advanced Power BI Training

Duration: 16 Hours

Build advanced analytical models, sophisticated DAX calculations and scalable enterprise-ready business intelligence solutions.

 

Course Purpose

The Advanced Power BI course is designed for experienced users who want to develop sophisticated analytical models, advanced DAX calculations and high-performance reporting solutions. The emphasis shifts from building reports to designing robust business intelligence solutions that answer complex management questions.

Target Audience

  • Experienced Power BI users
  • Senior data and business analysts
  • Business intelligence professionals
  • Finance and performance analysts
  • Monitoring and evaluation specialists
  • Reporting and MIS professionals
  • Professionals responsible for complex organisational dashboards

Day 1: Advanced Data Modelling and DAX

Module 1: Advanced Data Modelling

  • Advanced star-schema design
  • Complex relationships
  • Many-to-many relationships
  • Bridge tables
  • Role-playing dimensions
  • Inactive relationships
  • Model simplification and scalability

Module 2: Advanced DAX

  • CALCULATE and FILTER
  • ALL, ALLSELECTED and REMOVEFILTERS
  • VALUES and SELECTEDVALUE
  • RELATED and USERELATIONSHIP
  • Iterators such as SUMX and AVERAGEX
  • Advanced conditional calculations

Module 3: Advanced Time Intelligence

  • Rolling periods and moving averages
  • Prior-year comparisons
  • Month-on-month and year-on-year growth
  • Cumulative totals
  • Dynamic period comparisons

Module 4: Dynamic Measures and User-Controlled Analysis

  • Dynamic KPI selection
  • Dynamic titles
  • Parameter-driven analysis
  • What-if parameters
  • Scenario analysis
  • User-controlled reporting experiences

Day 2: Advanced Reporting, Performance and Deployment

Module 5: Advanced Dashboard Design

  • Executive dashboard design
  • Management scorecards
  • Exception-based reporting
  • KPI status indicators
  • Advanced navigation and drill-through
  • Storytelling with data

Module 6: Performance Optimisation

  • Identifying inefficient models
  • Reducing unnecessary columns
  • Improving model structure
  • Optimising DAX calculations
  • Understanding model size
  • Improving report responsiveness

Module 7: Security and Controlled Access

  • Row-Level Security
  • Creating user roles
  • Controlling access to data
  • Secure organisational report distribution

Module 8: Enterprise Reporting and Governance

  • Naming conventions
  • Documentation and report ownership
  • Data-quality controls
  • Version management
  • Refresh responsibilities
  • Governance considerations

Module 9: Capstone Dashboard Project

  • Importing multiple datasets
  • Transforming and consolidating data
  • Building a robust relational model
  • Developing advanced DAX measures
  • Creating dynamic analytical features
  • Designing and presenting an executive dashboard

Learning Outcomes

  • Design sophisticated Power BI models
  • Create advanced DAX calculations
  • Develop dynamic analytical dashboards
  • Implement Row-Level Security
  • Optimise performance
  • Build scalable and maintainable reporting solutions
Value Proposition

The Advanced course transforms experienced Power BI users from report creators into business intelligence solution developers.

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