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This two-day course provides a deep dive into Microsoft Power Query, focusing on mastering advanced data transformation techniques. Participants will progress from basics to advanced functionalities, gaining hands-on experience through practical exercises and real-world case studies. The course ensures a blend of theoretical understanding and practical application, allowing participants to confidently navigate and utilize Power Query in professional settings. By the end of the course, attendees will possess a practical toolkit for implementing advanced data transformations, bolstering their ability to tackle real-world scenarios with confidence and expertise.

What will you learn in this Microsoft Power Query Mastering Data Transformation?

• Confidently navigate Power Query, understanding its purpose and efficiently using the Power Query Editor.
• Master importing data from various sources, like Excel and databases, and use parameters for flexible connections.
• Gain skills in basic data transformations—filtering, sorting, handling duplicates, and managing data types and conversions.
• Proficient in advanced transformations, including working with dates, text, and functions in Power Query.
• Master advanced transformations, like aggregating data and merging queries, while smoothly managing relationships between them.
• Learn to manage errors, optimize queries for better performance, and follow best practices for trustworthy data transformations.
• Get introduced to Power Query M language, enabling the creation of custom functions, integrating with Power BI and Excel, and automating data tasks

Course Outline

Module 1: Introduction To Power Query
• Overview of Power Query and its role in data transformation
• Installing and configuring Power Query
• Exploring the Power Query Editor interface

Module 2: Connecting To Data Sources
• Importing data from various sources (Excel, CSV, databases, web, etc.)
• Understanding query folding and its implications
• Parameters and dynamic data source connections

Module 3: Basic Data Transformations
• Filtering and sorting data
• Removing duplicates
• Handling null values and errors
• Introduction to data types and type conversion

Module 4: Advanced Data Transformations
• Working with date and time functions
• Text transformations and manipulation
• Conditional columns and custom columns
• Using functions and expressions in Power Query

Module 5: Advanced Transformations And Integration
• Aggregating data with Group By
• Merging and appending queries
• Pivot and unpivot transformations

Module 6: Combining Queries And Managing Relationships
• Understanding query dependencies
• Join types and merging queries
• Managing relationships between queries

Module 7: Error Handling And Query Optimization
• Handling errors and exceptions in Power Query
• Optimizing query performance
• Best practices for efficient data transformation

Module 8: Automation And Integration
• Introduction to Power Query M language
• Creating custom functions
• Incorporating Power Query into Power BI and Excel workflows
• Automating data refresh and transformations