George Mount is an Excel MVP and author of Modern Data Analytics in Excel (he describes it as a guide to becoming a data analyst in Excel). His latest book, Advancing into Analytics: From Excel to Python and R could be subtitled “becoming a data scientist in Excel. As founder and CEO of Stringfest Analytics, he provides analytics education and upskilling including works with finance departments at the top ten banks. In this episode he answers how someone in FP&A – killing it in Excel – can go further in their career while using Excel as home base.

In this episode:

• Two books and the ROI you get as a finance professional from reading it
• Using Excel as your home base for FP&A
• When to use Excel vs Python
• citizen data scientists (or citizen data analysts) in Python
• Using low code/no code tools
• Excel, copilot and Python as a new “trinity” for FP&A
• Getting your data house in order before getting to AI
• A surprising Excel favorite befitting an MVP Connect with George Mount on LinkedIn: https://www.linkedin.com/in/gjmount/ Further Reading

George Mount: Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics George Mount: Advancing into Analytics: From Excel to Python and R