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Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Comprehending 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 duplicate entries
  • Filtering, sorting, and shaping data
  • Handling missing values

Transformations and Data Shaping

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

Combining Queries

  • Understanding the differences between appending and merging queries
  • Exploring join types and data structure considerations
  • Modeling multi-source datasets

Introduction to M Language

  • Deciphering M formulas
  • Editing queries via the Advanced Editor
  • Writing custom transformations

Automation and Refresh

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

Advanced Techniques

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

Summary and Next Steps

Requirements

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

Target Audience

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

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