Power Query: A Cleaner Way to Import and Append CSV Files - The Transformative Power of M Code

Overview

Master a cleaner approach to importing and appending CSV files in Power Query using M code, including extracting filenames, adding columns, and using let expressions to streamline your data transformation process.

Syllabus

• Introduction to Power Query and M Code
Overview of Power Query in data transformation
Introduction to M Code and its significance
• Importing CSV Files in Power Query
Basic import techniques for CSV files
Exploring the Power Query Editor interface
• Understanding M Code Syntax
Basic syntax and structure of M Code
Key functions and operators in M Code
• Cleaning and Preparing Data
Techniques for data cleansing in Power Query
Removing duplicates and handling missing values
• Extracting Filenames and Adding Columns
Methods to extract filenames using M Code
Adding custom columns in Power Query
• Appending CSV Files
Strategies for appending multiple CSV files
Using M Code to automate the append process
• Utilizing Let Expressions
Understanding the role of let expressions in M Code
Practical examples of let expressions in data transformation
• Advanced Data Transformation Techniques
Pivoting and unpivoting data for analysis
Grouping and aggregating data using M Code
• Error Handling and Debugging
Identifying common errors in M Code
Tools and strategies for debugging M Code scripts
• Best Practices in Power Query
Tips for optimizing M Code for performance
Organizing and commenting M Code for readability
• Real-world Applications and Case Studies
Applying learned concepts to real-world datasets
Discussion of case studies involving Power Query and M Code
• Conclusion and Next Steps
Recap of key concepts
Resources for further learning in Power Query and M Code

Subjects

Business