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Course Outline

Introduction to Power Query

  • Overview of the Power Query interface.
  • Understanding queries and applied steps.
  • Navigating integrations with Power BI and Excel.

Connecting to Data Sources

  • Importing Excel, CSV, and text files.
  • Working with folders and structured datasets.
  • Connecting to online and database sources.

Data Cleaning Fundamentals

  • Removing errors and duplicates.
  • Filtering, sorting, and shaping data.
  • Working with missing values.

Transformations and Data Shaping

  • Splitting and merging columns.
  • Pivoting and unpivoting.
  • Grouping and aggregating data.

Combining Queries

  • Differences between append and merge queries.
  • Join types and data structure considerations.
  • Modeling multi-source datasets.

Introduction to M Language

  • Understanding M formulas.
  • Editing queries using the Advanced Editor.
  • Writing custom transformations.

Automation and Refresh

  • Creating reusable transformation workflows.
  • Configuring refresh schedules.
  • Managing dependencies and query performance.

Advanced Techniques

  • Parameterizing queries.
  • Using functions in M.
  • Best practices for scalable transformation pipelines.

Summary and Next Steps

Requirements

  • A foundational understanding of spreadsheet-based data work.
  • Experience with basic data analysis tasks.
  • Familiarity with common file formats such as CSV and Excel.

Audience

  • Data professionals who need to clean and prepare datasets.
  • Business analysts responsible for recurring data workflows.
  • Anyone involved in data reporting and process automation.
 14 Hours

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