Scientific Computing Courses and Certifications

EDUCBA

Octave Programming: Analyze, Apply & Implement

Build GNU Octave programs: matrix operations and numerical functions, 2D and 3D plots with plotyy, bar, contour and ezplot3, plus scripts, loops, functions and exception handling.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Packt

Julia Programming for Data Science and Machine Learning

Master Julia v1.8 for data and scientific work: multiple dispatch, metaprogramming, DataFrames, CSV/HDF5/XML I/O, differential equations, plotting with Gadfly and GR, and package creation.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Python NumPy Tutorial for Beginners

4 ratings

Learn NumPy basics in Python: create and slice arrays, run arithmetic, linear algebra and statistics operations, reshape and stack, load data from files, and apply boolean masking.

• freeCodeCamp
• Self-Paced
• Free Video

The Royal Institution

Neuromorphic Computing - Faster Solutions for Scientific Breakthroughs

1 rating

Explore neuromorphic computing with Johan Mentink, learning how brain-inspired computing paradigms offer energy-efficient, faster solutions to computational problems that could enable scientific breakthroughs.

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

Learn Statistics with NumPy

164 ratings at Codecademy

Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

Scientific Programming for AI with Python

1 rating

Embark on a journey to master Python programming! This course will equip you with a solid understanding of essential techniques, including data structures, control statements, and functions. You'll al

• edX
• 10 weeks, 5-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Tour the Dynamics of Change and Motion with Python

Use Python to turn images, video, and accelerometer data into motion models, then analyze vibrations through differential equations and phase-plane visualizations.

• Independent
• Self-Paced
• Free Online 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 a week
• Self-Paced
• Free Online Course (Audit)

Introduction to NumPy Course (How To)

153-minute Python course: NumPy is short for Numerical Python. It is the fundamental package for scientific computing. You will see it at play in ...

• Treehouse
• 2 hours 34 minutes
• Self-Paced
• Free Trial Available

Explore NumPy’s array internals, memory behavior, and vectorization techniques for improving Python performance, including custom vectorization.

• Independent
• Self-Paced
• Free Online Course

Symbolic and Numeric Computation Video Series: Wolfram U

Explore hybrid symbolic-numeric computation in the Wolfram Language, using exact numbers to improve numerical methods and combining advanced numerical functions.

• Wolfram U
• 1 hour
• Self-Paced
• Free Online Course

Numerical Computing: Advanced Techniques: Wolfram U Lesson

Explore advanced control of Wolfram Language numerical functions, including precision, accuracy, algorithm monitoring, composition, and performance optimization.

• Wolfram U
• 33 minutes
• Self-Paced
• Free Online Course

Welcome to the interactive, multi-channel and collaborative course on Introduction to Scientific Programming and Machine Learning with Julia.

• Independent
• Self-Paced
• Free Online Course

Scientific Programming requires the highest performance but we also want to write very high level code to enable rapid prototyping and avoid error prone, low level implementations.

• Independent
• Self-Paced
• Free Online Course

Emerald Cloud Lab: Powered by Wolfram Language

Explore how Emerald Cloud Lab combines remote laboratory automation with Wolfram Language to design, run, and analyze experiments using real lab data.

• Wolfram U
• 1 hour
• Self-Paced
• Free Online Course