Numerical Computing Courses and Certifications

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

EDUCBA

Octave for Machine Learning: Analyze & Visualize

Learn GNU Octave for numerical computing: matrix creation and inversion, string and cell array handling, symbolic calculus, plus mesh grids, annotated plots, skewness and kurtosis.

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

EDUCBA

GNU Octave: Apply, Implement & Design Functions

Learn GNU Octave from installation onward: handle variables, operators and matrices, write if statements, switch cases and loops, and design reusable user-defined functions.

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

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

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

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

JuliaHub

Modeling and Simulation with JuliaSim

Discover how JuliaSim accelerates physical product development through advanced modeling, optimization, and simulation capabilities, featuring ModelingToolkit.jl and innovative solver improvements.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Meeting Cpp

Floating Point Computations Today and in the Future

Explore floating-point computations, IEEE 754 standard, data compression techniques, POSIT arithmetic, and C++ libraries. Gain insights into deep learning and alternative FP formats.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

JuliaHub

Understanding Floating Point Numbers in Computer Programming

Dive into the fundamentals of floating point numbers, mastering storage mechanics, rounding errors, and debugging techniques for achieving numerical accuracy in programming.

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

code::dive conference

Portable Floating Point Calculations - Cross-Platform Implementation Strategies

Dive into cross-platform floating point calculation challenges and solutions, exploring critical implementations for games and audio development with practical approaches to achieve portability.

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

OpenSSF

Secure Numerical Computing is Hard: Lessons from 10 Years of Open Data Science and the Long Road Ahead

Explore key security challenges and lessons learned from a decade of open data science, focusing on enterprise adoption of ML/AI technologies and emerging threats in numerical computing.

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

数学实验

本课程颠覆了仅靠纸和笔的数学学习方式，借助计算机和Matlab软件，解决来自微积分、线性代数和概率统计课程中的实际案例。理论分析与实践探索相结合，“学、思、做”有机统一。

• XuetangX
• Self-Paced
• Free Online Course

Computing for Data Analysis

6 ratings

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.

• edX
• 15 weeks, 8-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Applied Calculus with Python

46 ratings at Coursera

Learn calculus in Python: work with functions and graphs, find limits and derivatives, apply derivative rules, and compute integrals algebraically and numerically.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Introduction to Numerical Computing with NumPy - SciPy 2019 Tutorial

1 rating

Learn NumPy array syntax, indexing, mathematical functions, and custom routines through computational examples and simple image-display exercises.

• YouTube
• 2 hours 16 minutes
• Self-Paced
• Free Video