Mastering Power BI - Virtual Learning
Course Methodology
This Mastering Power BI training course adopts an interactive, hands-on approach with a blend of practical exercises, live demonstrations, and collaborative activities. The training course emphasizes using Power Query and M Code, enabling participants to apply skills in real-world data transformation scenarios. Each concept is reinforced with step-by-step examples and practice sessions.
Course Objectives
At the end of this Mastering Power BI training course, you will learn to:
- Master data transformation using Power Query Editor
- Write and apply M Code for advanced data shaping
- Create interactive, data-driven dashboards in Power BI
- Build complex data models and relationships
- Automate workflows and report refresh schedules
Target Audience
This Gulf Rowad training course is suitable for a wide range of professionals who wish to excel in data transformation and analysis using Power BI, especially:
- Data Analysts, Business Analysts, and BI Developers
- IT and Data Professionals responsible for data management
- Managers who want to optimize decision-making processes with data
- Finance, Operations, and Marketing Teams working with complex data sets
- Anyone looking to deepen their knowledge of Power Query and M Code in Power BI
Target Competencies
Organisational Impact
The Organisation will have the following benefits:
- Enhanced data accuracy with advanced data transformation techniques
- Improved reporting capabilities for better insights
- Streamlined data management with automation
- Faster, more reliable data preparation workflows
- Enhanced decision-making through clean, reliable data
- Reduced data processing time, increasing productivity
Personal Impact
At the end of this Mastering Power BI training course, the participants will gain the following:
- Proficiency in data transformation and M Code scripting
- Skills to automate data cleansing and preparation
- Mastery in creating efficient data models and relationships
- Confidence in building compelling data visualizations
- Practical skills for optimizing report performance
- Enhanced data storytelling for business insights
Course Outline
Introduction to Power BI and Power Query Basics
- Overview of Power BI
- Introduction to Power Query Editor
- Importing and connecting data from multiple sources
- Removing errors, duplicates, and blanks
- Understanding Power Query interface
- Introduction to M Code: structure, syntax, and functions
Advanced Data Transformation
- Conditional transformations and custom columns
- Merging and appending queries to combine datasets
- Using Power Query functions for complex data shaping
- Pivoting, unpivoting, and restructuring data tables
- Filtering and grouping data
- Understanding query load settings and data refresh optimization
Mastering M Code
- Writing custom M Code for advanced data manipulation
- Leveraging M Code for dynamic data filtering and cleansing
- Using M Code for conditional logic and nested functions
- Optimizing query performance with advanced M Code techniques
- Creating reusable functions and parameters in M Code
- Debugging and troubleshooting M Code errors
Building Interactive Reports
- Introduction to data modelling
- Creating calculated columns and measures using DAX
- Designing interactive visuals and understanding visualization options
- Best practices for building effective dashboards
- Implementing slicers, filters, and drill-through features
- Publishing, sharing, and securing reports in Power BI Service
Report Automation and Optimization
- Scheduling and automating report updates and data refreshes
- Optimizing report performance with data model best practices
- Using Power BI integration with other Microsoft tools (Excel, Teams, etc.)
- Course review: Building a complete project from start to finish
- Practical applications of Power Query, M Code, and Power BI
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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