Scientific Computing Courses and Certifications

Career Certificate

Data-Oriented Python Programming and Debugging

21 ratings at Coursera

Master Python debugging with the OILER framework while learning data manipulation and analysis using NumPy, pandas, and SciPy libraries to produce high-quality, readable, and reproducible code for data science projects.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Python Debugging Capstone Project: Fixing and Extending Code

Master debugging and extending Python code using NumPy, pandas, and SciPy while applying the OILER framework to analyze complex datasets and create clean, maintainable documentation.

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

MATLAB Crash Course for Beginners

7 ratings

Comprehensive introduction to MATLAB programming, covering essential concepts, data manipulation, visualization, and practical examples for engineers, scientists, and students.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Degree

Master of Computer Science

The Online MCS currently offers coursework in the core areas of artificial intelligence, databases, interactive computing, software engineering, scientific computing, and high-performance computing.

• Coursera
• Self-Paced
• $21,440.00
• 17 courses

The Python Programming A-Z Definitive Diploma

3162 ratings at Udemy

The Hands-On Guide to Master Modern Python and Data, to Advance your Dev and Data Career in no time!

• Udemy
• 5 hours 22 minutes
• Self-Paced
• Paid Course

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: 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

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

57 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