Scientific Computing Courses and Certifications

Practical Numerical Methods with Python

5 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

Data-Oriented C++ in Scientific Programming

Master data-oriented C++ programming for scientific applications, focusing on memory efficiency, parallel algorithms, and high-performance computing on multi-core CPUs and GPUs.

• Coursera
• 19 hours 50 minutes
• Self-Paced
• Paid Course

BiteSize Python: NumPy and Pandas

Master data manipulation and analysis with NumPy and Pandas libraries, exploring multidimensional arrays, Series, DataFrames, and essential statistical operations for efficient handling of large datasets.

• Coursera
• 13 hours 16 minutes
• Self-Paced
• Paid Course

BiteSize Python: Data Visualization

Master data visualization in Python using Matplotlib, Seaborn, and Plotly to create compelling static and interactive graphics. Learn essential techniques for effective data communication through hands-on practice.

• Coursera
• 17 hours 16 minutes
• Self-Paced
• Paid Course

Dartmouth;  Institut Mines-Télécom

C Programming: Pointers and Memory Management - 4

66 ratings at Coursera

Explore advanced pointer usage, multidimensional arrays, and dynamic memory allocation in C. Gain hands-on experience with crucial programming concepts applicable across various industries.

• Coursera
• 7 hours 5 minutes
• Self-Paced
• Paid Course

Dartmouth;  Institut Mines-Télécom

C Programming: Modular Programming and Memory Management - 3

62 ratings at Coursera

Enhance coding skills with modular programming, functions, and pointers. Learn memory organization, efficient addressing, and overcome pointer challenges using innovative visualization tools.

• Coursera
• 10 hours 8 minutes
• Self-Paced
• Paid Course

Learn NumPy Fundamentals (Python Library for Data Science)

1321 ratings at Udemy

All the basics to start using the python library NumPy

• Udemy
• 1 hour 49 minutes
• Self-Paced
• Free Online Course

Dartmouth;  Institut Mines-Télécom

C Programming: Advanced Data Types - 5

58 ratings at Coursera

Définissez vos propres types de données en C pour stocker et traiter efficacement des informations complexes. Apprenez les concepts fondamentaux applicables à tout langage de programmation.

• Coursera
• 7 hours 36 minutes
• Self-Paced
• Paid Course

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

56 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 Career Certificate

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