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 Duration 14 hours

Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Understanding queries and applied steps
  • Exploring integrations 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 Fundamentals

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

Transformations and Data Shaping

  • Splitting and merging columns
  • Utilising pivoting and unpivoting techniques
  • Grouping and aggregating data sets

Combining Queries

  • Differentiating between append and merge queries
  • Considering join types and data structure implications
  • Modelling datasets derived from multiple sources

Introduction to M Language

  • Grasping the fundamentals of M formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformation logic

Automation and Refresh

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

Advanced Techniques

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

Summary and Next Steps

Requirements

  • A foundational understanding of data work within spreadsheets
  • Practical experience with basic data analysis tasks
  • Familiarity with common file formats, including CSV and Excel

Target Audience

  • Data professionals requiring the ability to clean and prepare datasets
  • Business analysts managing recurring data workflows
  • Individuals involved in data reporting and process automation

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Provisional Upcoming Courses (Require 5+ participants)

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