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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
  • Handling folders and structured datasets
  • Linking to online platforms and database sources

Data Cleaning Fundamentals

  • Eliminating errors and duplicate records
  • Filtering, sorting, and reshaping data
  • Managing missing values

Transformations and Data Shaping

  • Splitting and merging columns
  • Performing pivot and unpivot operations
  • Grouping and aggregating data points

Combining Queries

  • Distinguishing between appending and merging queries
  • Evaluating join types and data structure considerations
  • Modeling datasets from multiple sources

Introduction to M Language

  • Understanding M formulas
  • Editing queries via the Advanced Editor
  • Developing custom transformation logic

Automation and Refresh

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

Advanced Techniques

  • Implementing parameters in queries
  • Utilizing functions within M
  • Best practices for designing scalable transformation pipelines

Summary and Next Steps

Requirements

  • Foundational knowledge of spreadsheet-based data operations
  • Experience with basic data analysis techniques
  • Familiarity with common file formats, including CSV and Excel

Target Audience

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

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