Scientific Computing Courses and Certifications

MICDE University of Michigan

Towards Persistent Computing - Next Generation of Computational Science

Explore the future of computational science and persistent computing with insights from aerospace engineering expert Venkat Raman's innovative research and perspectives.

• YouTube
• 30 minutes
• On-Demand
• Free Video

USENIX

Computing Challenges for CERN's Large Hadron Collider - Data Storage and Grid Computing

Explore CERN's Large Hadron Collider computing infrastructure, focusing on cluster management, data storage, and grid computing solutions for handling massive particle physics data generation.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Instituto de Matemática Pura e Aplicada

Making Scientific Applications Provenance Aware - Aula 03

Discover how provenance transforms scientific applications from opaque results to auditable, trustworthy outcomes through monitoring, data analysis, and seamless capture tools.

• YouTube
• 50 minutes
• On-Demand
• Free Video

ACM SIGPLAN

Synthesizing Sound and Precise Abstract Transformers for Nonlinear Hyperbolic PDE Solvers

Discover Phocus, the first abstract interpretation tool for hyperbolic PDE solvers that certifies bounds and invariants to prevent crashes and ensure numerical stability.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Complete Python Programming Masterclass Beginner to Advanced

10895 ratings at Udemy

Learn to Program like a Pro with Python. Start with Python Programming Basics and progress to a Python Professional.

• Udemy
• 7 hours 13 minutes
• On-Demand
• Paid Course

Practicing Coding Interview Questions in Python

Prepare for your next coding interviews in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Julia

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Julia Fundamentals

Discover Julia: fast, user-friendly language for all data tasks. Build from basics up to all things DataFrames, with no prior experience required!

• DataCamp
• 16 hours
• On-Demand
• Free Trial Available

Data Manipulation in Julia

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Rust

Rewriting Scientific Computing Tools in Rust - Challenges and Lessons Learned

Exploring Rust's potential in scientific computing by rewriting linear algebra, complex functions, and FFT from Octave. Discusses challenges, benefits, and lessons learned in improving scientific tools.

• YouTube
• 36 minutes
• On-Demand
• Free Video

The Julia Programming Language

Interval Methods for Scientific Computing in Julia

Explore interval methods for scientific computing in Julia, focusing on constraint propagation, global optimization, and root finding using IntervalConstraintProgramming.jl and IntervalArithmetic.jl packages.

• YouTube
• 37 minutes
• On-Demand
• Free Video

EuroPython Conference

Python for High Performance and Scientific Computing

Explore Python's capabilities for high-performance and scientific computing, enhancing your skills in numerical simulations and data analysis for research and industry applications.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Scientific Computing Using Cython - Best of Both Worlds!

Explore Cython for scientific computing, combining Python-like syntax with C speed. Learn to build native extensions, use static typing, and integrate with C code for optimal performance.

• YouTube
• 35 minutes
• On-Demand
• Conference Talk

JuliaHub

Scientific Computing and Machine Learning for Industrial Modeling - An Introduction to SciML

Discover how combining scientific computing with machine learning accelerates simulators and enhances industrial modeling through differential equations and data-driven approaches.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

PINNs for Inverse Problems in Scientific Computing

Explore Physics-Informed Neural Networks (PINNs) and their application in solving inverse problems in scientific computing and engineering.

• YouTube
• 30 minutes
• On-Demand
• Free Video