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Duration 14 hours
Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Grasping the concepts of queries and applied steps
- Exploring the integration with Power BI and Excel
Connecting to Data Sources
- Importing data from Excel, CSV, and text files
- Handling folders and structured datasets
- Establishing connections to online and database sources
Data Cleaning Basics
- Eliminating errors and duplicate entries
- Filtering, sorting, and restructuring data
- Addressing missing values effectively
Transformations and Data Structuring
- Splitting and merging columns
- Executing pivot and unpivot operations
- Grouping and aggregating data sets
Combining Queries
- Comparing append and merge query methods
- Considering join types and data structure implications
- Modelling datasets from multiple sources
Introductory M Language
- Understanding M formulas and syntax
- Modifying queries through the Advanced Editor
- Creating custom transformation logic
Automation and Refresh Schedules
- Building reusable transformation workflows
- Setting up automated refresh schedules
- Managing dependencies and optimising query performance
Advanced Techniques
- Implementing query parameters
- Utilising functions within M language
- Applying best practices for scalable transformation pipelines
Conclusion and Future Steps
Requirements
- A solid understanding of spreadsheet-based data handling
- Prior experience with fundamental data analysis activities
- Proficiency with common file formats, including CSV and Excel
Target Audience
- Data specialists tasked with cleaning and preparing datasets
- Business analysts managing recurring data workflows
- Individuals engaged 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.