Power Query for Data Transformation and Automation Training Course
Power Query is a versatile data transformation and automation tool utilized across Excel and Power BI platforms.
This instructor-led live training, available online or on-site, is designed for beginner-level data practitioners aiming to streamline, standardize, and automate their data preparation tasks using Power Query.
Upon successful completion of this training, participants will be able to:
- Develop repeatable data-cleaning processes using Power Query.
- Connect to and combine various data sources.
- Employ M language expressions to expand transformation logic.
- Establish automated data refresh workflows.
Course Format
- Practical demonstrations supported 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 integrations with 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 append and merge queries.
- Join types and data structure considerations.
- Modeling 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 foundational understanding of spreadsheet-based data work.
- Experience with basic data analysis tasks.
- Familiarity with common file formats such as CSV and Excel.
Audience
- Data professionals who need to clean and prepare datasets.
- Business analysts responsible for 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 (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
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