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Duration 14 hours
Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Concepts of queries and applied steps
- Integration with Power BI and Excel
Establishing Data Connections
- Importing data from Excel, CSV, and text files
- Managing folders and structured data sets
- Connecting to online services and database sources
Fundamentals of Data Cleaning
- Elimination of errors and duplicate entries
- Data filtering, sorting, and structural shaping
- Handling missing values effectively
Data Transformation and Shaping
- Splitting and merging columns
- Techniques for pivoting and unpivoting data
- Grouping and aggregating information
Integrating Multiple Queries
- Distinctions between appending and merging queries
- Considerations for join types and data structures
- Modeling datasets derived from multiple sources
Introduction to the M Language
- Comprehension of M formula syntax
- Query modification via the Advanced Editor
- Developing custom transformation logic
Automation and Refresh Management
- Design of reusable transformation workflows
- Setup of automatic refresh schedules
- Optimization of dependencies and query performance
Advanced Techniques
- Implementation of query parameters
- Application of functions within M
- Best practices for building scalable transformation pipelines
Recap and Future Directions
Requirements
- A foundational understanding of spreadsheet-based data operations
- Practical experience with elementary data analysis tasks
- Familiarity with standard file formats, including CSV and Excel
Target Audience
- Data professionals focused on dataset cleaning and preparation
- 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.