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Duration 14 hours
Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Understanding queries and applied steps
- Exploring integrations with Power BI and Excel
Connecting to Data Sources
- Importing data from Excel, CSV, and text files
- Managing folders and structured datasets
- Establishing connections to online and database sources
Data Cleaning Fundamentals
- Eliminating errors and duplicate entries
- Applying filters, sorting, and reshaping data
- Addressing missing values effectively
Transformations and Data Shaping
- Splitting and merging columns
- Executing pivoting and unpivoting operations
- Grouping and aggregating data records
Combining Queries
- Distinguishing between appending and merging queries
- Selecting appropriate join types and considering data structure
- Modelling complex multi-source datasets
Introduction to M Language
- Grasping M formulas and syntax
- Modifying queries via the Advanced Editor
- Crafting custom transformation logic
Automation and Refresh
- Building reusable transformation workflows
- Setting up automated refresh schedules
- Managing dependencies and optimising query performance
Advanced Techniques
- Implementing query parameterisation
- Utilising functions within M language
- Adopting best practices for scalable transformation pipelines
Summary and Next Steps
Requirements
- A solid grasp of spreadsheet-based data operations
- Practical experience with fundamental data analysis tasks
- Familiarity with standard file formats such as CSV and Excel
Target Audience
- Data professionals tasked with cleaning and preparing datasets
- Business analysts managing recurring data workflows
- Individuals involved in data reporting and process automation
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
Method of training.