Udemy - Power Query Masterclass - Advanced Data Cleaning and Automation

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Udemy - Power Query Masterclass - Advanced Data Cleaning and Automation (Size: 2.7 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  M7 - Folder Combine.xlsx 27 KB
  Multisheet Consol
  M7 - Consol.xlsx 27.3 KB
  MultiSheet_Sales.xlsx 13.8 KB
  Unpivot
  Unpivot Clean.xlsx 27.6 KB
  Unpivot_Exercise.xlsx 8.8 KB
  ~Get Your Files Here !
  1 - Module 0 Course Introduction and How to Succeed with Power Query
  1. Welcome and What You Will Achieve.mp4 46 MB
  2 - Power Query Foundations & the ETL Framework
  1. Module 1 Knowledge Test.html 20.1 KB
  10. Mental Model and Step Sequencing.mp4 26.6 MB
  11. Load Bringing Clean Data Into Excel (The L of ETL).mp4 33.7 MB
  12. Module 1 Outro.mp4 13.5 MB
  3 - Data Cleaning & Transformations Using the Power Query Editor
  13. Module 2 Introduction.mp4 31.5 MB
  13. Module 2 Introduction_Resource_Module2 L2 RemoveFilter xlsx.xlsx 8.5 KB
  13. Module 2 Introduction_Resource_Module2 L3 TextCleanup xlsx.xlsx 8.4 KB
  13. Module 2 Introduction_Resource_Module2 L4 SplitColumns xlsx.xlsx 8.3 KB
  13. Module 2 Introduction_Resource_Module2 L5 DataTypesErrors xlsx.xlsx 4.9 KB
  13. Module 2 Introduction_Resource_Module2 L6 ReplaceFill xlsx.xlsx 8.5 KB
  13. Module 2 Introduction_Resource_Module2 L7 GroupBy xlsx.xlsx 4.9 KB
  13. Module 2 Introduction_Resource_Practice xlsx.xlsx 20.4 KB
  14. Remove Rows Keep Rows & Filter Patterns.mp4 23.8 MB
  15. Trim Clean Extract and Change Case.mp4 36.8 MB
  16. Split Columns (Delimiters and Advanced).mp4 35.7 MB
  17. Data Types & Errors.mp4 35.3 MB
  18. Replace Values + Fill Down Fill Up.mp4 19.1 MB
  19. Aggregations.mp4 22.8 MB
  2. Module 2 Knowledge Test.html 9.6 KB
  20. Loading transformed data and testing.mp4 17.6 MB
  21. Module 2 Outro.mp4 29.7 MB
  4 - Combining Data and Understanding Power Query Pitfalls
  22. Module 3 Introduction.mp4 35.7 MB
  23. Appending Data in Power Query.mp4 55.8 MB
  24. Append Watchouts Split Column Pitfall.mp4 26.5 MB
  25. Append Watchouts Rename Column Pitfall.mp4 40.8 MB
  26. Append Watchouts Skip Column Pitfall.mp4 12.8 MB
  27. Folder Based Data Consolidation Using Power Query.mp4 45.6 MB
  28. Folder Consolidation Deep Dive Auto Generated Queries.mp4 49.5 MB
  29. Skip Column Pitfall in Action.mp4 19 MB
  3. Module 3 Knowledge Test.html 11.7 KB
  30. Merge Fundamentals in Power Query.mp4 59.4 MB
  31. Merge Pitfalls and Watchouts.mp4 69.6 MB
  32. Merge Types Explained.mp4 16 MB
  33. Data Structure Tall vs Wide Tables.mp4 17.2 MB
  34. Unpivoting Data in Power Query.mp4 39.9 MB
  35. Unpivot Pitfalls and Schema Changes.mp4 68.6 MB
  36. Consolidating Data from Multiple Sheets.mp4 44.2 MB
  37. Multi Sheet Consolidation Watchouts.mp4 30.5 MB
  38. Silent vs Blocking Errors in Power Query.mp4 13.3 MB
  39. Module 3 Summary and What’s Next.mp4 17.4 MB
  M3
  Append
  Feb_Sales.xlsx 8.4 KB
  Jan_Sales.xlsx 8.4 KB
  Mar_Sales.xlsx 8.5 KB
  Merge
  Merge Exercise.xlsx 19.2 KB
  MultiSheet
  MultiSheet_Sales.xlsx 13.8 KB
  Multisheet Consol.xlsx 17.4 KB
  Sales Consolidated.xlsx 19.1 KB
  Unpivot
  5 - M Language Foundations – Data Types and Core Objects
  4. Module 4 Knowledge Test.html 13 KB
  40. Module 4 Introduction.mp4 30.8 MB
  40. Module 4 Introduction_Resource_Data Types Basic xlsx.xlsx 9.5 KB
  41. Why Data Types Matter.mp4 26 MB
  42. Text.mp4 53.7 MB
  43. Numbers.mp4 18.7 MB
  44. Dates.mp4 14.6 MB
  45. Lists.mp4 69.1 MB
  46. Records.mp4 56.4 MB
  47. Tables.mp4 88.8 MB
  48. Module 4 Summary.mp4 18.1 MB
  6 - M Language Expressions Functions and Defensive Design
  49. Module 5 Introduction.mp4 21.6 MB
  49. Module 5 Introduction_Resource_M4 Practice File xlsx.xlsx 22.3 KB
  49. Module 5 Introduction_Resource_PQ CustomFunction Exercise xlsx.xlsx 13.3 KB
  5. Module 5 Knowledge Test.html 10.5 KB
  50. Importance of Expressions and Logic.mp4 17.5 MB
  51. Understanding Expressions.mp4 22.6 MB
  52. Step Sequencing and Evaluation Order.mp4 33.4 MB
  53. The Let–In Structure Explained.mp4 13.7 MB
  54. Custom Functions What They Are and Why They Matter.mp4 25.4 MB
  55. Custom Function Syntax.mp4 11.4 MB
  56. Custom Functions in Action (Simple Example).mp4 10.6 MB
  57. Building Your First Custom Function.mp4 37.9 MB
  58. Calling Custom Functions.mp4 15.9 MB
  59. Calling Custom Functions Continued.mp4 50.7 MB
  60. Parameters.mp4 45.4 MB
  61. Defensive Programming.mp4 17.4 MB
  62. Module 5 wrap up.mp4 18 MB
  7 - Designing Robust Power Query Solutions at Scale
  63. Module 6 Introduction.mp4 29.9 MB
  64. Unpivot Pitfalls Recap.mp4 76.3 MB
  65. Solution Walkthrough Target Outcome.mp4 52.1 MB
  66. Designing the Mental Model.mp4 101.5 MB
  67. Implementing the Solution Using AI.mp4 89.7 MB
  68. Testing the Setup.mp4 88.5 MB
  69. Multi Sheet Consolidation Designing Guardrails.mp4 119.2 MB
  70. Multi Sheet Consolidation Implementing with AI.mp4 71.3 MB
  71. Multi Sheet Consolidation Testing and Validation.mp4 23.7 MB
  72. Handling Changed Type with Parameters.mp4 62.4 MB
  73. Handling Row Level Errors Safely.mp4 29.4 MB
  74. Folder Based Consolidation.mp4 42.7 MB
  75. Course Summary and Final Thoughts.mp4 29.6 MB
  M6
  Folder Combine
  Files
  Apr.xlsx 8.6 KB
  Feb.xlsx 8.5 KB
  Jan.xlsx 8.5 KB
  Mar.xlsx 8.5 KB
  Unpivot_Exercise.xlsx 8.5 KB
  Unpivot_Query.xlsx 18.5 KB
  ProductMaster.xlsx 8.4 KB
  Sales.xlsx 8.8 KB
  Append from folder.xlsx 20.6 KB
  5. Module 1 Introduction.mp4 52 MB
  5. Module 1 Introduction_Resource_Module1 SalesData xlsx.xlsx 8.6 KB
  5. Module 1 Introduction_Resource_PQ File xlsx.xlsx 18.5 KB
  5. Module 1 Introduction_Resource_ReadMe docx.docx 15.9 KB
  6. ETL Framework.mp4 22.4 MB
  7. Connecting to Data.mp4 16.3 MB
  8. Power Query Editor Walkthrough.mp4 20.5 MB
  9. Transform Basic Transformations (The T of ETL).mp4 26.4 MB
  2. What Power Query Really Solves.mp4 32.2 MB
  3. Course learning objectives.mp4 26.8 MB
  4. Course Structure and How to Use This Course.mp4 48.5 MB

Description


Power Query Masterclass: Advanced Data Cleaning & Automation

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 1m | Size: 2.74 GB

Build robust Power Query solutions using M-code, real-world datasets, and scalable data transformation techniques

What you'll learn
Clean, transform, and automate Excel and Power BI data using Power Query to build efficient, repeatable workflows
Design scalable Power Query solutions that continue working reliably as data grows and changes
Understand Power Query data types (tables, lists, records) and retrieve values with clarity and confidence
Read, write, and modify M language to extend Power Query beyond basic transformations
Design queries that handle errors intentionally, resulting in more reliable and refresh-safe reports
Transform and automate complex real-world datasets, including multi-folder consolidation and unpivoted data
Adopt a modern analyst mindset focused on automation, scalability, and long-term maintainability
Build a clear and structured query architecture in Power Query so your solutions remain understandable and easy to manage

Requirements
Basic familiarity with Excel e.g. knowledge of pivotables, lookup functions, if statements is needed.

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