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Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Understanding queries and their applied steps
- Navigating integrations with Power BI and Excel for government use
Connecting to Data Sources
- Importing Excel, CSV, and text files for government applications
- Working with folders and structured datasets in a public sector context
- Establishing connections to online and database sources for government operations
Data Cleaning Fundamentals
- Removing errors and duplicates from data sets
- Filtering, sorting, and shaping data to meet public sector requirements
- Addressing missing values in government datasets
Transformations and Data Shaping
- Splitting and merging columns for enhanced data clarity
- Pivoting and unpivoting data to support analysis
- Grouping and aggregating data for comprehensive reporting
Combining Queries
- Understanding the differences between append and merge queries
- Exploring join types and their implications for data structure in government datasets
- Modeling multi-source datasets to enhance public sector analytics
Introduction to M Language
- Understanding M formulas and their application
- Editing queries using the Advanced Editor for precise control
- Writing custom transformations to meet specific government needs
Automation and Refresh
- Creating reusable transformation workflows for consistent data management
- Configuring refresh schedules to ensure up-to-date information for government operations
- Managing dependencies and optimizing query performance in public sector applications
Advanced Techniques
- Parameterizing queries to enhance flexibility and reusability
- Utilizing functions in M for complex data manipulations
- Best practices for developing scalable transformation pipelines for government use
Summary and Next Steps
Requirements
- Proficiency in spreadsheet-based data management
- Experience with fundamental data analysis activities
- Knowledge of standard file formats, including CSV and Excel
Audience
- Data professionals tasked with cleaning and preparing datasets for government use
- Business analysts responsible for regular data workflows
- Individuals involved in data reporting and process automation
14 Hours
Testimonials (2)
The subject was taught in an engaging way, making me want to learn more.
kgotla Moncho - Martin Engineering Africa
Course - PL-300T00: Microsoft Power BI Data Analyst
The coding and analysis, how the information come together in a report which will be useful for my work