Integrate Excel and Python and get the best of two Worlds! Python Beginners welcome. Use Pandas, Seaborn & co. in Excel
InstructorAlexander Hagmann
Free
Instruction includes practical applications such as Monte Carlo simulations and the creation of stock performance dashboards using Excel as a frontend.
The curriculum provides guidance on setting up the Anaconda distribution and working within Jupyter Notebooks.
Advanced modules involving User-Defined Functions (UDFs) and Dynamic Arrays are designated for Windows users only.
One signal suggests that certain lectures may require updates due to changes in external data libraries like pandas_datareader; this review predates the displayed update date, which does not prove a correction has been made.
The content aligns with the needs of Excel professionals and Python developers, though it carries specific platform constraints.