While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...
The power of Python trumps Excel workbooks.
Imported historical stock market data into Python. Converted date variables into datetime format. Prepared the dataset for time-series analysis.
This project analyzes a retail bank's client base of ~3,000 customers to understand who the bank's clients are, what products they hold, and how loan and deposit activity varies across income level, ...