Data analysis might sound complicated when you first encounter it. You might imagine large databases, advanced mathematics, and complicated machine learning algorithms.

But many useful data analysis tasks start with something much simpler: loading a dataset, asking questions about it, and using Python to find the answers.

In this tutorial, you'll build a simple data analyzer using Python and pandas. You'll work with a fictional student performance dataset and learn how to load data, inspect it, calculate statistics, filter records, group information, and create a basic visualization.

By the end, you'll have a reusable foundation for analyzing many types of CSV datasets.

Prerequisites

Before following this tutorial, you should have a few basic Python skills and tools ready.…