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 Duration 14 hours

Course Outline

Getting Started with Power Query

  • Overview of the Power Query interface
  • Grasping the concept of queries and applied steps
  • Exploring integrations with Power BI and Excel

Establishing Data Connections

  • Ingesting Excel, CSV, and text files
  • Handling folders and structured datasets
  • Linking to online services and database sources

Essentials of Data Cleaning

  • Eliminating errors and duplicate entries
  • Applying filters, sorting, and data shaping techniques
  • Addressing missing values effectively

Data Transformation and Shaping

  • Splitting and merging column data
  • Utilizing pivot and unpivot operations
  • Grouping and aggregating data sets

Integrating Multiple Queries

  • Distinguishing between appending and merging queries
  • Considerations for join types and data structure
  • Modeling datasets derived from multiple sources

Overview of the M Language

  • Comprehending M formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformation logic

Automation and Refresh Mechanisms

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

Advanced Strategies

  • Implementing query parameters
  • Applying functions within M
  • Best practices for scalable transformation pipelines

Recap and Future Directions

Requirements

  • A foundational grasp of spreadsheet-based data operations
  • Experience performing basic data analysis tasks
  • Familiarity with standard file formats, including CSV and Excel

Target Audience

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

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