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Duration 14 hours
Course Outline
Getting Started with Power Query
- Overview of the Power Query interface
- Grasping the concept of queries and applied steps
- Exploring integrations with Power BI and Excel
Linking to Data Sources
- Ingesting Excel, CSV, and text files
- Managing folders and structured datasets
- Connecting to online platforms and database sources
Essentials of Data Cleansing
- Eliminating errors and duplicate entries
- Applying filters, sorting, and shaping data
- Addressing missing values
Transformations and Data Structuring
- Splitting and combining columns
- Executing pivots and unpivots
- Grouping and aggregating data points
Merging Queries
- Distinguishing between appending and merging queries
- Selecting join types and considering data structure
- Modeling datasets from multiple sources
Intro to the M Language
- Comprehending M formulas
- Modifying queries via the Advanced Editor
- Crafting custom transformations
Automation and Refresh Mechanisms
- Building reusable transformation workflows
- Setting up refresh schedules
- Managing dependencies and optimizing query performance
Advanced Techniques
- Implementing parameters in queries
- Utilizing functions within M
- Applying best practices for scalable transformation pipelines
Recap and Future Directions
Requirements
- A solid grasp of spreadsheet-based data handling
- Practical experience with fundamental data analysis operations
- Knowledge of standard file formats, including CSV and Excel
Target Audience
- Data specialists tasked with dataset cleansing and preparation
- Business analysts managing recurring data workflows
- Professionals 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.