Numerical Computing Courses and Certifications

Fundamental Tools of Data Wrangling

20 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 42 minutes
• On-Demand
• Paid Course

Data Science with Julia (Part I)

42 ratings at Udemy

Gain insights into data analysis and visualization using Julia's high-performance capabilities for efficient data manipulation, importing, and exploration techniques.

• Udemy
• 5 hours 6 minutes
• On-Demand
• Paid Course

30 Days of Python Code: NumPy Challenge

14 ratings at Udemy

Take the 30-Day NumPy Challenge: Dive into Python Code - Level Up Your Skills and Master NumPy for Data Manipulation!

• Udemy
• 1 hour 13 minutes
• On-Demand
• Paid 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
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

NumPy Essential Training: 1 Foundations of NumPy

590 ratings at LinkedIn Learning

Learn about NumPy, the most useful Python library for data science and numerical computing.

• LinkedIn Learning
• 1 hour 26 minutes
• On-Demand
• Free Trial Available

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
• On-Demand
• Free Video

Learning MATLAB

410 ratings at LinkedIn Learning

Get a hands-on overview of how to use MATLAB, the popular programming language and numeric computing platform developed by MathWorks.

• LinkedIn Learning
• 2 hours 3 minutes
• On-Demand
• Free Trial Available

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
• On-Demand
• Free Video

Data Analysis with Python: Zero to Pandas

2 reviews

"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
• On-Demand
• 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
• On-Demand
• Conference Talk

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
• On-Demand
• Free Video