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 Duration 14 hours

Course Outline

Introduction to Power Query

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

Establishing Data Source Connections

  • Importing Excel, CSV, and text-based files
  • Handling folders and structured datasets
  • Linking to online and database resources

Foundations of Data Cleaning

  • Eliminating errors and duplicate entries
  • Filtering, sorting, and structuring data
  • Addressing missing values effectively

Data Transformation and Shaping

  • Splitting and merging column data
  • Applying pivot and unpivot operations
  • Grouping and aggregating information

Merging and Combining Queries

  • Distinguishing between appending and merging queries
  • Evaluating join types and data structural implications
  • Structuring datasets from multiple sources

Getting Started with the M Language

  • Comprehending M formulas
  • Modifying queries through the Advanced Editor
  • Developing custom transformation rules

Automation and Data Refresh

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

Advanced Methodologies

  • Implementing query parameters
  • Utilizing functions within the M language
  • Adhering to best practices for scalable transformation pipelines

Conclusion and Future Directions

Requirements

  • A solid grasp of spreadsheet-based data operations
  • Practical experience with fundamental data analysis tasks
  • Familiarity with standard file formats, including CSV and Excel

Target Audience

  • Data specialists required to cleanse and prepare datasets
  • Business analysts managing recurring data workflows
  • Professionals engaged in data reporting and process automation

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