What You Need to Know Before
You Start

Starts 3 July 2025 10:11

Ends 3 July 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

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

Unlock the potential of Power Query for a more streamlined and cleaner approach to handling CSV files. This tutorial delves into the transformative power of M code, teaching you how to efficiently import and append CSV files. You'll explore techniques to extract filenames, add new columns, and harness the power of let expressions, significantl.
ExcelIsFun via YouTube

ExcelIsFun

2765 Courses


14 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Video

Optional upgrade avallable

Overview

Unlock the potential of Power Query for a more streamlined and cleaner approach to handling CSV files. This tutorial delves into the transformative power of M code, teaching you how to efficiently import and append CSV files.

You'll explore techniques to extract filenames, add new columns, and harness the power of let expressions, significantly simplifying your data transformation tasks. Perfect for those looking to enhance their data management skills, this course is offered by YouTube under the categories of Artificial Intelligence Courses and Business Courses.

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