A good way to start learning computer science is to begin with an introductory programming or computational thinking course. These courses can help you understand how to break problems into smaller steps, write code, test solutions, and reason about how programs work. Options on this page include Introduction to Computer Science and Programming from the University of London, Computer Science: Programming with a Purpose from Princeton University, and Computational Thinking for Problem Solving from the University of Pennsylvania. Once you feel comfortable with the basics, you can move into algorithms, discrete math, data science, or computing fundamentals.‎

Yes. You can start learning computer science on Coursera for free in two ways:

1. Preview the first module of many computer science courses at no cost. This includes video lessons, readings, graded assignments, and Coursera AI (where available).
2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in computer science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Good beginner courses for computer science include introductory programming, computational thinking, and computing fundamentals courses. On this page, options such as Introduction to Computer Science and Programming from the University of London, Computer Science: Programming with a Purpose from Princeton University, and Computational Thinking for Problem Solving from the University of Pennsylvania are well aligned with early learners. Python for Data Science, AI & Development from IBM can also be useful if you want to connect programming with data and AI applications. Start with the course that matches your goal: broad foundations, coding practice, or applied Python.‎

Computer science courses typically cover programming, algorithms, problem solving, computer systems, mathematical foundations, and ways to reason about computation. Introductory courses may focus on writing programs and understanding core concepts, while more advanced or theoretical courses may cover discrete math, algorithm analysis, machines, and computational models. The courses listed on this page include Introduction to Discrete Mathematics for Computer Science, Computer Science: Algorithms, Theory, and Machines, and Fundamentals of Computing. Coursera’s selection can help you move from beginner concepts into more structured study of how software and computing systems work.‎