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
Testimonials (5)
The content was tough but that extra effort I had to put helped me remember and understand power BI better.
Melvin - TLI Group
Course - Power BI DAX Fundamentals
Discussing about our issues
Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia
Course - Power BI for Developers
What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs
Ernesto Sitoe Junior - Electricidade de Mocambique
Course - Advanced Power BI
Best practices for building a data model and best practices for visual elements in a report not covered in official materials. Many examples from projects.
Abc Xyz
Course - Microsoft Power BI Data Analyst (szkolenie autoryzowane PL-300)
Machine Translated
There are many fields and functions which I haven't recognized or I haven't been familiar with. It was really good that I could get such knowledge or skills for self-development and for database creation for company.