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 Duration 14 hours

Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Grasping 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 duplicates
  • Filtering, sorting, and restructuring data
  • Addressing missing values

Transformations and Data Shaping

  • Splitting and merging columns
  • Performing pivots and unpivots
  • Grouping and aggregating data

Combining Queries

  • Distinguishing between append and merge queries
  • Considering join types and data structure
  • Modeling datasets from multiple sources

Introduction to M Language

  • Understanding M formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformations

Automation and Refresh

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

Advanced Techniques

  • Parameterizing queries
  • Applying functions within M
  • Best practices for 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 standard file formats, including CSV and Excel

Target Audience

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

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