PythonBeginner
CS50's Introduction to Computer Science
Harvard's legendary CS50 introduction to computer science. Covers C, Python, SQL, JavaScript, and web programming. The most-enrolled university course in the world.
Free alternative
Coursera Plus costs $59/month or $399/year. Here is what to use instead.
Every course below is free to access or free to audit. Start with one, finish it, then move on.
PythonBeginner
Harvard's legendary CS50 introduction to computer science. Covers C, Python, SQL, JavaScript, and web programming. The most-enrolled university course in the world.
PythonIntermediate
MIT's legendary introductory programming course. Covers computational thinking, algorithms, data structures, and OOP using Python. Full lecture videos, problem sets, and exams available free.
PythonBeginner
freeCodeCamp's Scientific Computing with Python certification teaches Python fundamentals through five hands-on projects: budget app, arithmetic formatter, time calculator, shape calculator, and probability calculator. You come out able to write Python scripts, work with data structures, apply object-oriented principles, and solve algorithmic problems. It is a good fit for complete beginners with no coding background and anyone who wants a structured, certificate-backed introduction to Python. The limitation: it covers Python in isolation, with no data libraries (NumPy, Pandas) or web frameworks.
Machine LearningIntermediate
Harvard's 9-course data science certificate on edX. Covers R programming, data visualisation, probability, inference, regression, machine learning, and capstone.
SQLIntermediate
Learn SQL, PostgreSQL, and relational database concepts by completing projects in a Linux environment. Covers table design, joins, constraints, and database management. Free verified certificate.
Machine LearningBeginner
Kaggle Learn's micro-course on machine learning fundamentals using scikit-learn. Covers decision trees, model validation, underfitting and overfitting, and random forests. Three hours, all in browser-based notebooks.
Most Coursera courses let you audit for free: you watch every lecture and read every reading, you just lose graded quizzes and the shareable certificate. For learning, that is a small loss. The bigger free win is the open university content that was never behind Coursera at all. MIT OpenCourseWare publishes full courses (lectures, problem sets, exams) with no signup. CS50 gives you Harvard's intro computer-science course end to end, free, with an optional free certificate. edX runs many of the same university courses as Coursera and also offers a free audit track.
Start with CS50 for the computer-science foundation. Move to MIT's Introduction to Computer Science and Programming in Python for a more math-forward take, or freeCodeCamp's Scientific Computing with Python for a project-driven one. For data, HarvardX's Data Science track on edX is free to audit and covers R, statistics, and machine learning. Add freeCodeCamp's Relational Database course and Kaggle's Intro to Machine Learning and you have covered the ground a Coursera Plus subscriber pays for, at zero cost.
The one thing you cannot free your way around is the credential. Coursera Plus includes verified certificates and Professional Certificates from names like Google and Meta, and some employers and visa processes want that specific paper. Auditing gets you the knowledge but not the certificate, and CS50's free certificate is not the same as a paid Coursera Professional Certificate.
Verdict
Audit first, always. Learn the material free through CS50, MIT OCW, and edX audit tracks. Only pay Coursera (per course, not the full Plus subscription) if a specific employer or program requires that exact certificate.
A step-by-step order to work through these courses, not just a list.
Every skill to pick up, in order, with a free course for each phase.
Free will take you a long way. If you later decide paid structure or career support is worth it, we keep an honest shortlist of the ones worth the money.
See the paid options we recommend →More free alternatives