Power Query for Data Transformation and Automation Training Course
Power Query is a robust tool for transforming and automating data, widely utilized within Excel and Power BI environments.
This instructor-led live training, available both online and onsite, is designed for beginner-level data practitioners who want to streamline, standardize, and automate their data preparation tasks using Power Query.
Upon completing this training, participants will be able to:
- Develop repeatable data-cleaning processes using Power Query.
- Connect to and combine data from multiple sources.
- Utilize M language expressions to extend transformation logic.
- Set up automated data refresh workflows.
Format of the Course
- Practical demonstrations accompanied by guided explanations.
- Extensive hands-on exercises to reinforce skills.
- Real-world practice within an interactive lab environment.
Course Customization Options
- To tailor this training to your team’s specific environment or datasets, please contact us to arrange.
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
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Power Query for Data Transformation and Automation Training Course - Enquiry
Testimonials (1)
engagement with the attendees
Magdeline Matsie Mokonyane-Motha - Tshwane University of Technology
Course - PL-300T00: Microsoft Power BI Data Analyst
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