Udemy
Computational Physics: Scientific Programming with Python
Computational Physics: Scientific Programming with Python is a beginner-level online course from Udemy in Physics. It is structured in 11 modules with 4 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.5/5 from 1.2K ratings on Udemy, with 9.2K enrolled.
Part of our Physics courses collection, where we compare it against 2 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.5★ (1.2K reviews) |
| Learners | 9.2K |
| Price | Free Free |
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
11 modulesThe 11-part outline Udemy publishes for this course.
Module 1 · Python installation via Anaconda & Alternatives
Module 2 · [Optional] Python Crash Course
Module 3 · Series expansion, interpolation & data fitting
Module 4 · Derivatives
Module 5 · Integrals
Module 6 · Differential equations I: Basics and 1-dimensional problems
Module 7 · Differential equations II: Multiple dimensions
Module 8 · Eigenvalue problems
Module 9 · Monte Carlo algorithms
Module 10 · [Add On] Quantum mechanics: Solving the Schrödinger equation
Module 11 · [Add on] Nobel prize lecture: Electronic properties of graphene
What learners rate it
Rated 4.5/5 by 1.2K learners on Udemy (checked 26 Aug 2026).
This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →
Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 26 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Computational Physics: Scientific Programming with Python This |
Udemy
|
4.5★ | Free | Free — certificate included | |
| Quantum Physics from Beginner to Expert (Quantum mechanics) |
Udemy
|
4.6★ | Free | Free — and still gives a certificate | |
| The Complete Quantum Computing Course |
Udemy
|
4.5★ | Free | Free — certificate included |
Common questions
Is Computational Physics: Scientific Programming with Python free?
Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.
Does Computational Physics: Scientific Programming with Python come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
Is Computational Physics: Scientific Programming with Python suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Computational Physics: Scientific Programming with Python cover?
It is organised into 11 modules, starting with Python installation via Anaconda & Alternatives and going on to [Optional] Python Crash Course, Series expansion, interpolation & data fitting, Derivatives, Integrals, among others. The full outline is on this page.