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 Duration 14 hours

Course Outline

Getting Started with Power Query

  • Overview of the Power Query interface
  • Comprehending queries and the sequence of applied steps
  • Navigating integration features in Power BI and Excel

Establishing Connections to Data Sources

  • Importing data from Excel, CSV, and text files
  • Handling folder structures and organized datasets
  • Linking to online services and database systems

Foundations of Data Cleaning

  • Eliminating errors and duplicate records
  • Filtering, ordering, and restructuring data
  • Managing missing values effectively

Data Transformation and Shaping Techniques

  • Dividing and combining column data
  • Executing pivot and unpivot operations
  • Grouping records and calculating aggregates

Integrating Multiple Queries

  • Distinguishing between appending and merging queries
  • Evaluating join types and data structural requirements
  • Constructing models from multiple data sources

Introduction to the M Language

  • Grasping the fundamentals of M formulas
  • Modifying queries via the Advanced Editor
  • Developing custom transformation logic

Automation and Data Refresh

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

Advanced Methodologies

  • Implementing parameters in queries
  • Leveraging functions within the M language
  • Applying best practices for scalable transformation pipelines

Conclusion and Future Directions

Requirements

  • A foundational understanding of spreadsheet-based data operations
  • Prior experience with elementary data analysis tasks
  • Familiarity with standard file formats, including CSV and Excel

Target Audience

  • Data professionals tasked with cleansing and preparing datasets
  • Business analysts managing recurring data workflows
  • Individuals engaged in data reporting and process automation initiatives

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

Testimonials (2)

How to use relationships in Power BIand the differences between columns and measurements

LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

engagement with the attendees

Magdeline Matsie Mokonyane-Motha - Tshwane University of Technology
Course - PL-300T00: Microsoft Power BI Data Analyst

Upcoming Courses

Power Query for Data Transformation and Automation

2026-11-18 09:30
14 hours
Johannesburg - City Lodge Waterfall City

Power Query for Data Transformation and Automation

2026-12-02 09:30
14 hours
Garden Court South Beach

Power Query for Data Transformation and Automation

2026-12-16 09:30
14 hours
Sheraton Pretoria Hotel

Power Query for Data Transformation and Automation

2026-12-30 09:30
14 hours
Pretoria - Brooklyn Bridge

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