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Computational Physics: Scientific Programming with Python

Computational Physics: Scientific Programming with Python is an online course from Udemy in Physics. It is structured in 11 modules with 4 stated learning outcomes, over 21 hours. It costs ₹499, certificate included. Learners rate it 4.6/5 from 1.2K ratings on Udemy, with 9.4K enrolled.

Part of our Physics courses collection, where we compare it against 2 other courses.

★★★★★4.6(1.2K reviews) 9.4K learners English

Course highlights

Provider Udemy
Duration 21 hours
Level All Levels
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Instructor Dr. Börge Göbel
Rating 4.6★ (1.2K reviews)
Learners 9.4K
Price ₹499 ₹3,419

What you’ll learn

Getting Started: A beginner-friendly crash course about NumPy, functions, loops, conditionals, lists, arrays & plots
Numerical methods: Derivatives & integrals, differential equations & eigenvalue problems, interpolation & Monte Carlo methods
Practice at Physics Problems: Moment of inertia, magnetic field of a wire, radioactive decay, harmonic oscillators, free fall, rolling balls
Application to Advanced Problems: Chaotic systems, heat equation, 3-body problem, spaceship mission, coupled pendulums, magnetism, graphene & quantum physics

Level and time commitment

Udemy lists this course at All Levels level.
It is published as suitable across experience levels, so beginners and people brushing up share the same material.
Time commitment: 21 hours.
It is self-paced, so that figure is the material, not a fixed schedule.

What this course covers

11 modules

The 11-part outline Udemy publishes for this course, across 21 hours.

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

4.6
★★★★★
1.2K ratings

Rated 4.6/5 by 1.2K learners on Udemy (checked 6 Oct 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 →

How this page is put together

Compiled by the CoursesGlobal 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 6 October 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 4.6★ ₹499 21 hours Highest rated (4.6★ from 1.2K reviews)
Quantum Physics from Beginner to Expert (Quantum mechanics) Udemy 4.6★ ₹489 13 hours Quickest to finish (13 hours) View ↗
The Complete Quantum Computing Course Udemy 4.3★ ₹469 15.5 hours Most popular — 25.4K learners View ↗
See all Physics courses →

Common questions

How much does Computational Physics: Scientific Programming with Python cost?

It is listed at ₹499 on Udemy, last checked 6 October 2026. Course prices change and providers run discounts, so treat this as the list price and confirm on the provider page.

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.

How long does Computational Physics: Scientific Programming with Python take?

Udemy lists it at 21 hours. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Computational Physics: Scientific Programming with Python suitable for beginners?

Udemy lists it as suitable for all levels, so beginners and people brushing up work through the same material.

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.

Who teaches Computational Physics: Scientific Programming with Python?

Dr. Börge Göbel, as listed by Udemy.

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