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Course

freeCodeCamp Scientific Computing with Python

Run by freeCodeCamp

OnlineOnlineSelf-paced; ~300 hoursFreeOpenLow effort

About this opportunity

<p>freeCodeCamp's Scientific Computing with Python certification teaches Python from the ground up through a project-based curriculum. Learners build small programs that illustrate variables, control flow, regular expressions, object-oriented programming, recursion, and core data structures, ending with five certification projects and a free verifiable certificate.</p> <ul> <li>Open to all; no prior experience required</li> <li>Covers Python variables, loops, conditionals, functions, lambda expressions, list comprehensions, regular expressions, OOP, recursion, and algorithm design</li> <li>Five certification projects: Arithmetic Formatter, Time Calculator, Budget App, Polygon Area Calculator, and Probability Calculator</li> <li>Certification projects must pass automated test suites to qualify</li> <li>Free verifiable certificate shareable on LinkedIn; no fees at any stage</li> <li>Self-paced with an estimated 300 hours for the full curriculum</li> </ul> <p>Create a free freeCodeCamp account, work through the project-based lessons, and build the five certification projects to claim the certificate.</p>

Who can apply

Open to all; no prior experience required

How to apply

Click "Start Learning" on the freeCodeCamp course page to begin; sign in (it's free) to save your progress.

What you get

CertificatePortfolio piece

Frequently asked

Who runs this?+

Run by freeCodeCamp. More on their website.

Who can apply?+

Open to all; no prior experience required

Is it paid?+

Free to apply. No participant fees.

What will I walk away with?+

You can expect certificate and portfolio piece.

How do I apply?+

Click "Start Learning" on the freeCodeCamp course page to begin; sign in (it's free) to save your progress.

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Last verified 27 September 2026·Updated 27 September 2026·Source