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Course Outline
Introduction to Power Query
- Power Query interface overview
- 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
- Working with 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
- An 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
14 Hours
Testimonials (2)
The subject was taught in an engaging way, making me want to learn more.
kgotla Moncho - Martin Engineering Africa
Course - PL-300T00: Microsoft Power BI Data Analyst
The coding and analysis, how the information come together in a report which will be useful for my work