David Langer

Broschiertes Buch

Python in Excel Step-By-Step

Beschreibung

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills you'll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, tounlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python - even if you've never written code before. David also includes: * Targeted coverage of the Python fundamentals required for analytics - learn just what you need fast * How to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in Excel * A DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more impact at work Perfect for professionals use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain manager, Python in Excel Step-by-Step is an invaluable new resource for all business professionals who use Excel and want to build skills for Excel's AI-powered future.

Autor

DAVID LANGER is an Excel trainer, Microsoft Excel MVP, analytics consultant, and LinkedIn Top Voice who has taught thousands of professionals how to apply cutting-edge data science skills. He regularly teaches hands-on data science courses for his clients and at national conferences in the United States. He also hosts a successful YouTube channel called DaveOnData.

Produktdetails

• Verlag: Wiley
• Seitenzahl: 352
• Erscheinungstermin: 3. Februar 2026
• Englisch
• ISBN-13: 9781394340767
• ISBN-10: 1394340761
• Artikelnr.: 74531423