Numerical Computing Courses and Certifications

MathWorks

Practical MATLAB Skills

Gain hands-on experience with MATLAB through real-world data analysis, visualization, and automation projects across engineering, science, and industry applications.

• Coursera
• 19 hours 56 minutes
• Self-Paced
• Paid Course

Packt

Intro to NumPy

Master NumPy fundamentals through hands-on array manipulation, mathematical operations, and data visualization techniques for effective numerical computing in Python.

• Coursera
• 6 hours 42 minutes
• Self-Paced
• Paid Course

Packt

Data Processing and Exploration with NumPy & Pandas

Master NumPy and Pandas for efficient data manipulation, numerical analysis, and visualization through hands-on exercises with real-world datasets.

• Coursera
• 9 hours 28 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

Great Learning

Machine Learning with Python - Tutorial for Beginners

Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.

• YouTube
• 10 hours 37 minutes
• Self-Paced
• Free Video

Numpy For Data Science - Real Time Coding Exercises

441 ratings at Udemy

Comprehensive guide to mastering Numpy for efficient numerical computations in Python. Covers arrays, functions, indexing, and real-time exercises to enhance data science skills.

• Udemy
• 2 hours 35 minutes
• Self-Paced
• Paid Course

Bro Code

Learn NumPy in 1 Hour - Introduction to Python's Numerical Computing Library

Master NumPy fundamentals in one hour: arrays, slicing, arithmetic, broadcasting, aggregate functions, filtering, and random numbers for Python data manipulation.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Julia Programming Language - From Zero to Expert

279 ratings at Udemy

Learn the Next Gen Language for Data Science, Machine Learning and Numerical Computing

• Udemy
• 4 hours
• Self-Paced
• Paid Course

Numerical Computations in MATLAB

258 ratings at Udemy

Including Root Finding, Linear Algebra, Curve Fitting, Numerical Integration, Differential Equations and Optimization

• Udemy
• 4 hours 26 minutes
• Self-Paced
• Free Online Course

Data Analysis with Python: Zero to Pandas

2 ratings

"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

• Jovian
• Self-Paced
• Free Online Course

CppNow

The Numerical Template Toolbox for High Performance Computing

Explore the Numerical Template Toolbox for high-performance computing in C++, focusing on efficient array operations, architectural optimization, and intuitive API design using Boost components.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Conference Talk

IPhT-TV

Exactly Solvable 2D Conformal Field Theory - Computing Conformal Blocks and Numerical Bootstrap - Lecture 5

Explore advanced concepts in 2D conformal field theory, focusing on computing conformal blocks and numerical bootstrap techniques. Gain insights into exactly solvable CFTs and their applications.

• YouTube
• 2 hours 10 minutes
• Self-Paced
• Free Video

The Julia Programming Language

cuNumeric.jl - Automating Distributed Numerical Computing

Discover how cuNumeric.jl automates distributed numerical computing with high-level arrays that scale across heterogeneous hardware, featuring linear algebra, stencils, and PDE solvers.

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

MICDE University of Michigan

Formally Verified Numerical Methods in Scientific Computing

Delve into formal verification techniques for numerical methods, exploring machine-checked program verification and mathematical proofs for scientific computing algorithms and differential equations.

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

Comprehensive guide to transitioning from Python to NumPy, covering array anatomy, code vectorization, problem-solving techniques, and advanced topics for efficient numerical computing.

• Independent
• Self-Paced
• Free Online Course