Graph Theory Courses and Certifications

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Graph Data Structures and Algorithms - Complete Course

Master graph algorithms from basics to advanced topics including BFS, DFS, shortest paths, MST, and strongly connected components with hands-on C++ implementation.

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

Introduction to Google SEO

6 ratings

Learn Google SEO fundamentals, best practices, and future trends. Develop optimization strategies, understand search algorithms, and create buyer personas to improve website rankings and visibility.

• Coursera
• 16 hours 13 minutes
• Self-Paced
• Paid Course

Hamiltonian Paths in Antiquity - Stanford Lecture 2016

1 rating

Explore the ancient origins of Hamiltonian paths with Donald Knuth, tracing their history from Graeco-Roman times through Sanskrit and Arabic documents, and their modern relevance in computer science.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Advanced Algorithmics and Graph Theory with Python

1 rating

Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Certificate

Graphs and Networks: Concepts and Applications

Explore graph theory fundamentals and network analysis techniques using Wolfram Language. Learn to build models, visualize data, and analyze properties for real-world applications.

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

Dr Trefor Bazett

The Bunkbed Conjecture Debunked - A Counterexample with 7222 Vertices

Explore the recent disproval of the famous bunkbed conjecture in probabilistic graph theory, featuring a counterexample with 7222 vertices and its implications.

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

Operations Analytics

6 ratings

Learn to transform data into profitable decisions using analytics. Model uncertainties, predict outcomes, and choose optimal actions in various business settings using quantitative methods and software.

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

Fundamentals of Quantitative Modeling

5 ratings

Aprenda a criar modelos quantitativos para análise de dados empresariais, incluindo modelos lineares, probabilísticos e de regressão. Domine técnicas essenciais para previsão, otimização e tomada de decisões baseadas em dados.

• Coursera
• 9 hours 33 minutes
• Self-Paced
• Paid Course

Calculus: Single Variable Part 2 - Differentiation

5 ratings

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat.

• Coursera
• 10 hours
• Self-Paced
• Paid Course

Principles of Computing (Part 2)

16 ratings

Explore computational principles, data structures, recursion, and algorithmic thinking through hands-on Python projects, preparing you for advanced problem-solving in computer science.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Algorithmic Thinking (Part 1)

15 ratings

Explore algorithmic efficiency and graph theory, implementing key algorithms in Python to analyze real-world data sets. Develop problem-solving skills beyond specific programming languages.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Aplicaciones de la Teoría de Grafos a la Vida Real (I)

17 ratings

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados.

• edX
• 4 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63526 ratings at Coursera

Enhance deep learning skills: master hyperparameter tuning, regularization, optimization, and TensorFlow implementation for improved neural network performance and systematic results generation.

• Coursera
• 23 hours 35 minutes
• Self-Paced
• Paid Course

Institute for Advanced Study

Representational Power of Graph Neural Networks - Stefanie Jegelka

Explore the representational power of Graph Neural Networks, focusing on message passing, aggregation operations, and their impact on network structure and reasoning tasks.

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

Simple Snippets

Graph Traversal Techniques - Breadth First Search vs Depth First Search

Explore graph traversal techniques: BFS for level-wise exploration and DFS for deep path exploration. Learn implementation steps, applications, and differences between these fundamental algorithms.

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