Data Engineering with Python teaches learners how to use Python and pandas to prepare, transform, and analyze structured data for modern data engineering workflows. Through hands-on coding exercises and practical projects, learners build foundational skills for working with datasets, cleaning data, performing transformations, and extracting meaningful insights.

Throughout the course, learners configure a Python development environment, install and manage packages, and use the pandas library to load, clean, filter, transform, and analyze structured datasets. They practice handling missing values, aggregating information, reshaping data, and preparing datasets for downstream analysis through practical exercises that reflect common data engineering tasks. By the end of the course, learners will be able to prepare and transform structured datasets using Python and pandas, perform foundational data analysis, and apply programming techniques that support modern data engineering workflows.