Getting Started with Python for Data Science

Getting Started with Python for Data Science is a free course from Codecademy. It is designed for beginners and takes about seven hours of self-paced study. The course teaches Python through real data tasks, not abstract theory.

The module list shows exactly what you will do. In "Exploring Data with Python" you learn to read and view datasets. "Sorting and Filtering Rows" teaches you how to pick out the rows you need. "Cleaning and Transforming Columns" shows how to fix messy data so it can be analysed. "Next Steps" rounds out the basics before you move to more advanced topics.

By the end you can explore a dataset, sort it to find a specific answer, and clean it so it is ready for analysis. These are concrete tasks you can list on a resume or discuss in an interview. The course also gives a shareable certificate, which Codecademy awards on completion.

This course does not cover machine learning models, statistical testing, or coding outside of Python. If you want to learn those topics, we list several alternatives. The Deep Learning Specialization on Coursera goes into neural networks and takes about three months. The Google Data Analytics Professional Certificate runs six months and focuses on the full analytics workflow. Udemy bootcamps such as The Data Science Course offer broader coverage, including SQL and machine learning, at a range of price points. Choose the one that matches the time you have and the depth you need.