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Duration 14 hours
Course Outline
Overview of Power Query Capabilities
- Examination of the Power Query user interface
- Review of query architecture and applied steps
- Navigation of integrations within Power BI and Excel environments
Establishing Data Source Connections
- Ingestion of Excel, CSV, and text file formats
- Management of folder structures and standardized datasets
- Configuration of connections to online services and database systems
Core Principles of Data Cleaning
- Elimination of errors and redundant records
- Application of filtering, sorting, and structural adjustments
- Handling of null or missing data entries
Data Transformation and Shaping Procedures
- Division and consolidation of column data
- Execution of pivot and unpivot operations
- Implementation of grouping and aggregation strategies
Integration of Multiple Queries
- Distinction between append and merge methodologies
- Analysis of join types and data structural alignment
- Construction of models utilizing diverse data sources
Fundamentals of the M Language
- Interpretation of M language syntax and formulas
- Modification of queries via the Advanced Editor
- Development of bespoke transformation logic
Automation and Data Refresh Protocols
- Design of reusable transformation workflows for government operations
- Setup of scheduled refresh intervals
- Oversight of dependencies and query performance metrics
Advanced Methodologies
- Implementation of query parameters
- Application of functional constructs in M
- Adherence to best practices for scalable data pipelines
Conclusion and Recommended Pathways
Requirements
- Proficiency in spreadsheet-based data management
- Practical experience with foundational data analysis tasks
- Familiarity with standard file formats, including CSV and Excel
Target Audience
- Data specialists requiring the cleansing and preparation of datasets
- Business analysts managing recurring data workflows
- Personnel engaged in data reporting and process automation
Testimonials (2)
The most valuable takeaway was learning how to apply the concepts in real-world scenarios and understanding the tools and processes.
Marcel Tansae - DB Technology
Course - Microsoft Power Automate
How to use relationships in Power BIand the differences between columns and measurements