Data preparation can be a time-consuming and challenging task and organizations spend a significant amount of time to clean and prepare data for analysis. Microsoft's Power Query is a powerful ETL tool which helps to transform and prepare data with ease. Whether you're a data analyst, scientist, or business user, mastering Power Query is a valuable skill that can help streamline your workflows.
In this presentation, we'll explore how to use Power Query to save time and gain valuable insights. We'll start by introducing the rich and intuitive interface of Power Query Editor in Power BI Desktop where you can perform complex transformations quickly and easily. We will also discuss how to use the underlying M language when extra flexibility is needed.
Throughout the presentation, we'll cover various topics, such as parameters, error handling, exploring data, query folding, and best practices. Finally, we'll discuss how to overcome some of the tool's limitations by using custom Python scripts.
To make the content more accessible, we'll provide multiple examples that demonstrate the concepts we discuss.
By the end of the presentation, you'll be well-equipped to start your own Power Query journey. So join my presentation and get ready to take your data preparation skills to the next level.