
Power Query teaches you to load, clean, and reshape data in Excel, then load it back to your workbook, with practical examples from web data, PDFs, and folders.
Merge a quantities table with a category table in power query using product id, expand the join, and assign a keyword-based category for each product.
Learn to compare two Excel tables in Power Query by merging queries, handling nulls, and creating a custom status column to identify added, removed, changed, or unchanged rows.
Define a days parameter in a cell, convert it to Power Query, add a custom column to filter last n days, and build a dynamic pivot table and chart.
What is Power Query?
Power Query is a powerful tool integrated into Excel that allows you to connect, combine, and refine data across a wide variety of sources. Whether you're dealing with data from databases, web services, or even text files, Power Query can help you transform and clean your data with ease.
Why Learning Power Query is Important?
Power Query is important because it helps you handle large amounts of data easily and quickly. For working professionals, time is valuable, and Power Query allows you to clean, transform, and combine data without needing advanced technical skills. It simplifies tasks that would otherwise be complex and time-consuming, making your work more efficient.
Why Power Query is Better than Formulas?
Power Query is superior to formulas for several reasons, particularly for working professionals handling large datasets. First, Power Query automates data cleaning and transformation tasks, which can be complex and repetitive when performed manually with formulas. Instead of writing and maintaining multiple formulas, you can perform these tasks with a few clicks in Power Query, saving time and reducing the chance of errors. Another advantage is its user-friendly interface. Power Query offers a visual approach to viewing and manipulating your data, making it easier to understand and manage. Unlike formulas, which can be difficult to audit and troubleshoot, Power Query steps are clear and straightforward. This makes it simpler to modify or update your data processes, leading to more efficient and accurate work.