Power Query for Data Transformation and Automation Training Course
Power Query serves as a powerful tool for data transformation and automation, seamlessly integrated within both Excel and Power BI environments.
This instructor-led live training, available either online or onsite, is designed for beginner-level data professionals looking to streamline, standardize, and automate their data preparation workflows using Power Query.
By the end of this training, participants will be equipped to:
- Develop repeatable data-cleaning processes leveraging Power Query.
- Successfully connect to and merge multiple data sources.
- Utilize M language expressions to enhance transformation logic.
- Establish automated data refresh workflows for efficient updates.
Course Format
- Practical demonstrations accompanied by guided explanations.
- Extensive hands-on exercises to reinforce skill acquisition.
- Real-world practice scenarios within an interactive lab environment.
Customization Options
- To tailor this training specifically to your team’s environment or datasets, please reach out to us to make arrangements.
Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Understanding queries and applied steps
- Navigating the Power BI and Excel integrations
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
- Handling missing values
Transformations and Data Shaping
- Splitting and merging columns
- Pivoting and unpivoting
- Grouping and aggregating data
Combining Queries
- Append vs. 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
Target Audience
- Data professionals tasked with cleaning and preparing datasets
- Business analysts managing recurring data workflows
- Professionals 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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