Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

You don't need to be a data scientist to use Pandas for some basic analysis. Traditionally, people who program in Python use the data types that come with the language, such as integers, strings, ...

Python’s Pandas library allows for advanced data manipulation, statistical analysis, and exploration directly within Excel, streamlining workflows.

Also, Python isn’t limited to automation in Excel only. It opens up a host of other programming possibilities for you. Python is useful in web development, data science, machine learning, and more.

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.

The pandas library offers the possibility to read, edit and change data from Excel workbooks using Python.

Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.