Actually I still use Excel for data wrangling especially when I have small quantities of data or when Im importing it from PDF table where there is an need of lots of manual cleaning. On my Linuxputer I don have Excel and use LibreOffice s instead what is basically the same but free. I don like VBA and Im not willing to get too much into. There is XLWings s that provide Python interaction with Excel. I tested Google Sheet s instead of Excel coupled with Colaboratory s Google Jupyter notebook freely available on the cloud. I often work with CSV source files and directly browse it in a Jupyter Notebook s with Pandas s and correct the errors with Python or manually with a editor. If the data has to be reused for other purpose I may transfer it into a SQL database like SQLite s or PostgreSQL s . Im mainly working on metallurgy related products currently and I did not have to deal with so big datasets. For datasets where Excel of CSV files are not enough Microsoft propose nice tools in Visual Studio and Azure data studio coupled with SQL server. Another tool that we cannot forget is Tableau s . I would definitly rend it for data analysis and visualmunication rather than Excel. it is a very powerfull tool for extremly quick creation of nice graphics fromplex datasets. Although I played with the free version I have to say that I choose not to buy a licence because Python is powerfull and easy enough for me. But this tool is definitly better than Excel.