Scientific Computing Courses and Certifications

JetBrains

Python: Mastering NumPy Essentials

1 rating

Unlock NumPy's power for data science and AI through hands-on practice with arrays, indexing, math operations, and real-world projects in a professional IDE environment.

• Coursera
• 7 hours 11 minutes
• Self-Paced
• Paid Course

Starweaver

Matlab and Simulink Basics

55 ratings at Coursera

Master Matlab and Simulink for engineering and scientific problem-solving. Gain hands-on experience in programming, data analysis, and model simulation to tackle real-world challenges with confidence.

• Coursera
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Python for Mechanical Engineers

1212 ratings at Udemy

Learn Python to solve problems in mechanical fields.

• Udemy
• 12 hours 43 minutes
• Self-Paced
• Paid Course

Computational Physics: Scientific Programming with Python

1122 ratings at Udemy

From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more

• Udemy
• 20 hours 56 minutes
• Self-Paced
• Paid Course

EDUCBA

AI Foundations with Python: Build & Visualize

19 ratings at Coursera

Discover Python fundamentals for AI through hands-on environment setup, NumPy data manipulation, and creating compelling visualizations with Matplotlib and Seaborn in this beginner-friendly journey.

• Coursera
• 6 hours 17 minutes
• Self-Paced
• Paid Course

MathWorks Credential

MATLAB Skills for the AI Era

12 ratings at Coursera

Master essential MATLAB skills for data analysis, app development, and AI-powered productivity to advance your engineering and scientific career with hands-on projects.

• Coursera
• 8 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 3 courses

MathWorks

Introduction to MATLAB Copilot

11 ratings at Coursera

Discover how to leverage MATLAB Copilot's AI-powered features to enhance coding efficiency, generate explanations, refine drafts, and integrate generative AI into engineering workflows.

• Coursera
• 2 hours 47 minutes
• Self-Paced
• Paid Course

Fortran for Scientific Programming

Learn how to program in Fortran. Use object-oriented programming to design efficient and maintainable code.

• edX
• 5 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Fred Hutchinson Cancer Center

Smarter Scientific Software Development with GitHub Actions

Master GitHub Actions for automated scientific workflows, enhancing reproducibility in biomedical research through continuous integration and deployment techniques.

• Coursera
• 10 hours 20 minutes
• Self-Paced
• Paid Course

EDUCBA

GNU Octave: Apply, Implement & Design Functions

Master GNU Octave installation, numerical computations, matrix manipulation, control structures, and function design for scientific computing and data analysis applications.

• Coursera
• 6 hours 2 minutes
• Self-Paced
• Paid Course

Packt

Julia Programming for Data Science and Machine Learning

Master Julia v1.8 for data science and machine learning, covering type systems, metaprogramming, interoperability, visualization, and scientific computing with hands-on, real-world applications.

• Coursera
• 12 hours
• Self-Paced
• Free Certificate

Master COMSOL Multiphysics® Simulation Software

955 ratings at Udemy

Master COMSOL Multiphysics® software from scratch: physics-based simulations, meshing, solvers, and analysis.

• Udemy
• 3 hours 45 minutes
• Self-Paced
• Paid Course

Programming Numerical Methods in Python

897 ratings at Udemy

A Practical Approach to Understand the Numerical Methods

• Udemy
• 12 hours 18 minutes
• Self-Paced
• Paid Course

ICTP-SAIFR

Computational Methods for Simulating and Analyzing Ecological Systems - Class 4

Explore computational methods for ecological simulations and analysis, focusing on plotting techniques, floating points, and algorithmic problem-solving in quantitative ecology.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Practical Numerical Methods with Python

4 ratings

Even if this is the only numerical methods course you ever take, dedicating yourself to mastering all modules will give you a foundation from which you can build a career in scientific computing.

• Independent
• 15 weeks, 6 hours a week
• Self-Paced
• Free Online Course