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 Duration 14 hours

Course Outline

Introduction to Power Query

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

Linking to Data Sources

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

Essentials of Data Cleansing

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

Data Transformation and Shaping

  • Dividing and combining columns
  • Executing pivoting and unpivoting operations
  • Grouping and aggregating data points

Query Consolidation

  • Distinguishing between appending and merging queries
  • Understanding join types and structural considerations
  • Modelling datasets from multiple sources

Getting Started with M Language

  • Grasping M formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformation scripts

Automation and Refresh Mechanisms

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

Advanced Methodologies

  • Implementing query parameters
  • Utilising M functions
  • Adopting best practices for scalable transformation pipelines

Recap and Future Steps

Requirements

  • Basic knowledge of spreadsheet-based data operations
  • Prior experience with fundamental data analysis activities
  • Familiarity with standard file formats like CSV and Excel

Target Audience

  • Data specialists required to cleanse and ready datasets
  • Business analysts managing recurring data processes
  • Individuals engaged in data reporting and process automation

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