1. Most Used Data Science Tools


Probably the most widely used Data Analysis tool. Microsoft developed Excel mostly for spreadsheet calculations and today, it is widely used for data processing, visualization, and complex calculations.

Excel is a powerful analytical tool for Data Science. While it has been the traditional tool for data analysis, Excel still packs a punch.

Excel comes with various formulae, tables, filters, slicers, etc. You can also create your own custom functions and formulae using Excel. While Excel is not for calculating the huge amount of Data, it is still an ideal choice for creating powerful data visualizations and spreadsheets.

You can also connect SQL with Excel and can use it to manipulate and analyze data. A lot of Data Scientists use Excel for data cleaning as it provides an interactable GUI environment to pre-process information easily.

With the release of ToolPak for Microsoft Excel, it is now much easier to compute complex analyzations. However, it still pales in comparison with much more advanced Data Science tools like SAS. Overall, on a small and non-enterprise level, Excel is an ideal tool for data analysis.

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