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 Duration 14 hours

Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Grasping the concepts of queries and applied steps
  • Exploring the integration with Power BI and Excel

Connecting to Data Sources

  • Importing data from Excel, CSV, and text files
  • Handling folders and structured datasets
  • Establishing connections to online and database sources

Data Cleaning Basics

  • Eliminating errors and duplicate entries
  • Filtering, sorting, and restructuring data
  • Addressing missing values effectively

Transformations and Data Structuring

  • Splitting and merging columns
  • Executing pivot and unpivot operations
  • Grouping and aggregating data sets

Combining Queries

  • Comparing append and merge query methods
  • Considering join types and data structure implications
  • Modelling datasets from multiple sources

Introductory M Language

  • Understanding M formulas and syntax
  • Modifying queries through the Advanced Editor
  • Creating custom transformation logic

Automation and Refresh Schedules

  • Building reusable transformation workflows
  • Setting up automated refresh schedules
  • Managing dependencies and optimising query performance

Advanced Techniques

  • Implementing query parameters
  • Utilising functions within M language
  • Applying best practices for scalable transformation pipelines

Conclusion and Future Steps

Requirements

  • A solid understanding of spreadsheet-based data handling
  • Prior experience with fundamental data analysis activities
  • Proficiency with common file formats, including CSV and Excel

Target Audience

  • Data specialists tasked with cleaning and preparing datasets
  • Business analysts managing recurring data workflows
  • Individuals engaged in data reporting and process automation

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