Power BI Data Analysis Diploma — Learning Repository
A structured, hands-on learning companion for the 81-lecture Microsoft Power BI Data Analysis Diploma by Eng. Essam Elsayed (MCT). The repository organizes the curriculum into seven learning phases and brings together lecture notes, practice materials, data-source exercises, Power Query M Language references, a progress tracker, and 17 case studies.
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Chapter 1 of 4 · The question
What this project explores.
A structured, hands-on learning companion for the 81-lecture Microsoft Power BI Data Analysis Diploma by Eng. Essam Elsayed (MCT). The repository organizes the curriculum into seven learning phases and brings together lecture notes, practice materials, data-source exercises, Power Query M Language references, a progress tracker, and 17 case studies.
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- 01
Organize 81 lectures into seven learning phases, from data foundations and acquisition to transformation, case studies, and the Power Query engine.
- 02
Document data acquisition patterns across Excel, CSV, PDF, cloud storage, SQL databases, web sources, REST APIs, and JSON.
- 03
Maintain a practical Power Query M Language reference covering reusable expressions, custom functions, error handling, and query patterns.
- 04
Structure hands-on practice materials and lecture-level documentation alongside a curriculum map and personal progress tracker.
- 05
Use 17 case-study sections to connect data preparation and Power BI concepts with applied business scenarios.
- 01Data foundations
- 02Data acquisition
- 03Advanced data extraction
- 04Governance and automation
- 05Data transformation
- 06Applied case studies
- 07Power Query engine and M Language
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Comprehensive learning repository and documentation hub for the 81-lecture Microsoft Power BI Data Analysis Diploma by Eng. Essam Elsayed (MCT). Includes organized datasets, Power Query M code cheatsheet, and real-world case studies.
Current README excerpt
This repository serves as a structured, hands-on self-study companion for the Microsoft Power BI Data Analysis Diploma. It organizes all 81 video lectures into 7 modular phases, providing: - 📂 Structured Practice Folders: Cleanly arranged datasets (.pbix, .xlsx, .csv, .pdf, .json) corresponding directly to each lecture. - 📖 Deep Technical Documentation: In-depth README.md for every single lecture explaining core business concepts, methodology, and step-by-step instructions. - ⚡ M Language Code Reference: Practical, ready-to-use M expressions,
A source excerpt, not an independently verified outcome.