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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

Linking to Data Sources

  • Ingesting Excel, CSV, and text files
  • Managing folders and structured datasets
  • Connecting to online platforms and database sources

Essentials of Data Cleansing

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

Transformations and Data Structuring

  • Splitting and combining columns
  • Executing pivots and unpivots
  • Grouping and aggregating data points

Merging Queries

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

Intro to the M Language

  • Comprehending M formulas
  • Modifying queries via the Advanced Editor
  • Crafting custom transformations

Automation and Refresh Mechanisms

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

Advanced Techniques

  • Implementing parameters in queries
  • Utilizing functions within M
  • Applying best practices for scalable transformation pipelines

Recap and Future Directions

Requirements

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

Target Audience

  • Data specialists tasked with dataset cleansing and preparation
  • Business analysts managing recurring data workflows
  • Professionals engaged in data reporting and process automation

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