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Duration 14 hours
Course Outline
Introduction to Power Query
- Overview of the Power Query interface
- Grasping the concept of queries and applied steps
- Navigating the integrations with Power BI and Excel
Linking to Data Sources
- Importing data from Excel, CSV, and text files
- Handling folders and structured data sets
- Connecting to online services and database sources
Fundamentals of Data Cleaning
- Eliminating errors and duplicate records
- Filtering, sorting, and reshaping data
- Addressing missing values effectively
Data Transformation and Shaping
- Splitting and merging columns
- Executing pivots and unpivots
- Grouping data and applying aggregations
Combining Multiple Queries
- Distinguishing between appending and merging queries
- Considerations regarding join types and data structure
- Modeling datasets derived from multiple sources
Getting Started with the M Language
- Understanding M language formulas
- Modifying queries through the Advanced Editor
- Developing custom transformation scripts
Automation and Data Refresh
- Building reusable transformation workflows
- Setting up refresh schedules
- Managing dependencies and optimizing query performance
Advanced Methodologies
- Implementing parameterized queries
- Utilizing functions within the M language
- Best practices for designing scalable transformation pipelines
Summary and Path Forward
Requirements
- A solid grasp of spreadsheet-based data operations
- Practical experience with fundamental data analysis activities
- Familiarity with standard file formats, including CSV and Excel
Target Audience
- Data professionals focused on cleaning and preparing data sets
- Business analysts managing recurring data processes
- Individuals involved 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