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Course Outline
Overview of Power Query Capabilities
- Examination of the Power Query user interface
- Analysis of query logic and applied transformation steps
- Integration procedures for Power BI and Excel environments
Establishing Data Source Connectivity
- Importation protocols for Excel workbooks, CSV files, and text data
- Management of folder structures and standardized datasets
- Configuration of connections to external online services and database systems
Fundamentals of Data Quality Assurance
- Identification and removal of erroneous entries and redundant records
- Execution of filtering, sorting, and structural adjustments
- Protocols for addressing incomplete data fields
Data Transformation and Restructuring
- Techniques for splitting and combining columnar data
- Procedures for pivoting and unpivoting data sets
- Aggregation strategies and data grouping methodologies
Query Consolidation Strategies
- Distinctions between append and merge operations
- Evaluation of join types and structural implications
- Frameworks for modeling integrated multi-source datasets
Introduction to the M Formula Language
- Comprehension of M formula syntax and logic
- Utilization of the Advanced Editor for query modification
- Development of custom transformation scripts
Workflow Automation and Data Refresh Management
- Development of repeatable transformation processes
- Configuration of automated refresh timelines
- Oversight of system dependencies and optimization of query efficiency for government data workflows
Advanced Analytical Techniques
- Implementation of query parameters for dynamic configurations
- Application of custom functions within the M language
- Standards for designing scalable and maintainable transformation pipelines
Executive Summary and Future Directions
Requirements
- Competency in managing data within spreadsheet applications
- Practical background in foundational analytical procedures
- Knowledge of standard file structures, including CSV and Excel formats
Audience
- Data practitioners tasked with the cleansing and preparation of information sets
- Analysts managing regular data processing operations
- Personnel engaged in reporting activities and operational automation for government initiatives
14 Hours
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
The basic structure of Power BI, its main functions, as well as some advanced functions