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

Fundamentals of Data Cleaning

  • Eliminating errors and duplicates
  • Filtering, sorting, and reshaping data
  • Addressing missing values

Data Transformation and Shaping

  • Splitting and merging columns
  • Pivoting and unpivoting data
  • Grouping and aggregating records

Merging Queries

  • Appending versus merging queries
  • Join types and considerations for data structure
  • Modeling datasets from multiple sources

Getting Started with M Language

  • Comprehending M formulas
  • Modifying queries via the Advanced Editor
  • Writing custom transformation scripts

Automation and Refresh Strategies

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

Advanced Techniques

  • Parameterizing queries for flexibility
  • Utilizing functions within M
  • Best practices for scalable transformation pipelines

Recap and Future Steps

Requirements

  • A solid grasp of spreadsheet-based data handling
  • Experience performing basic data analysis tasks
  • Familiarity with standard file formats like 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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