Course Outline

Introduction to Power Query

  • Power Query interface overview
  • Understanding queries and applied steps
  • Navigating the Power BI and Excel integrations

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

  • Append vs. 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

  • An 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
 10 Hours

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