Python in Excel Step-by-Step

An intuitive guide to unlocking the potential of your data with Python in Excel In this hands-on guide to Python in Excel, analytics educator and Microsoft Excel MVP David Langer explains how to expand your Excel data analysis skillset using Python. He demonstrates the additional analytics capabilities unlocked by Python and provides a DIY data science roadmap to unleash the power of your data for the AI-powered future of Excel. Python in Excel Step-by-Step leverages your existing Excel knowledge to supercharge the Python skills you can apply in Excel. Langer walks you through the skills you'll need to manipulate, analyze, and visualize your data. You'll discover specific techniques, including how to use the powerful pandas and plotnine libraries inside Excel. You'll also find targeted coverage of the most essential Python fundamentals you need for analytics so that you can get up to speed in a hurry. The book skips unnecessary background and theory, focusing on practical techniques that facilitate the application of valuable analytics tools. Perfect for professionals who use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain managers, Python in Excel Step-by-Step is an invaluable resource for every business professional who wants to: - Understand why Microsoft is positioning Python as the future of Excel - Automate data cleaning and analysis techniques for reproducibility - Visually analyze data not possible in out-of-the-box Excel - Partner with the Copilot in Excel AI - Future-proof their data skills