Get in Touch

Course Outline

Introduction to Power Query

  • Overview of the Power Query interface
  • Understanding queries and applied steps
  • Navigating the integrations between Power BI and Excel

Connecting to Data Sources

  • Importing Excel, CSV, and text files
  • Working with folders and structured datasets
  • Connecting to online and database sources

Data Cleaning Fundamentals

  • Removing errors and duplicates
  • Filtering, sorting, and shaping data
  • Working with missing values

Transformations and Data Shaping

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

Combining Queries

  • Differences between appending and merging queries
  • Join types and data structure considerations
  • Modelling multi-source datasets

Introduction to M Language

  • Understanding M formulas
  • Editing queries using the Advanced Editor
  • Writing custom transformations

Automation and Refresh

  • Creating reusable transformation workflows
  • Configuring refresh schedules
  • Managing dependencies and query performance

Advanced Techniques

  • Parameterizing queries
  • Using functions in M
  • Best practices for scalable transformation pipelines

Summary and Next Steps

Requirements

  • A basic understanding of spreadsheet-based data work
  • Experience with fundamental data analysis tasks
  • Familiarity with common file formats such as CSV and Excel

Audience

  • Data professionals responsible for cleaning and preparing datasets
  • Business analysts managing recurring data workflows
  • Anyone involved in data reporting and process automation
 14 Hours

Testimonials (1)

Related Categories