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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
  • Managing folders and structured datasets
  • Establishing connections to online and database sources

Data Cleaning Fundamentals

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

Transformations and Data Shaping

  • Splitting and merging columns
  • Executing pivoting and unpivoting operations
  • Grouping and aggregating data records

Combining Queries

  • Distinguishing between appending and merging queries
  • Selecting appropriate join types and considering data structure
  • Modelling complex multi-source datasets

Introduction to M Language

  • Grasping M formulas and syntax
  • Modifying queries via the Advanced Editor
  • Crafting custom transformation logic

Automation and Refresh

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

Advanced Techniques

  • Implementing query parameterisation
  • Utilising functions within M language
  • Adopting best practices for scalable transformation pipelines

Summary and Next Steps

Requirements

  • A solid grasp of spreadsheet-based data operations
  • Practical experience with fundamental data analysis tasks
  • Familiarity with standard file formats such as CSV and Excel

Target Audience

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

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