Graph Theory Courses
Graph Theory courses can help you learn about vertices, edges, paths, and cycles, as well as concepts like connectivity and graph coloring. You can build skills in network analysis, algorithm design, and problem-solving techniques that apply to various fields such as computer science, biology, and social sciences. Many courses introduce tools like Python libraries for graph analysis, visualization software, and algorithms for optimizing network flows, allowing you to apply your knowledge to real-world data and complex systems.
Popular Graph Theory Courses and Certifications
Princeton University
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Computer Programming, Computational Logic, Java Programming, Computer Hardware, Scalability
Shanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Network Model, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Mathematics and Mathematical Modeling, Logical Reasoning, General Mathematics, Algorithms, Probability, Computer Science
Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Theoretical Computer Science, Probability Distribution
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Social Network Analysis, Network Analysis, Theoretical Computer Science, Probability & Statistics
Princeton University
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computer Programming, Java Programming, Java
University of California San Diego
Skills you'll gain: Graph Theory, Network Model, Database Design, Big Data, Graphing, Apache Spark, Network Analysis, Analytics, Data Store, Data Management, Query Languages, Computing Platforms, Scalability, Distributed Computing, Algorithms
University of London
Skills you'll gain: Arithmetic, Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving
Princeton University
Skills you'll gain: Combinatorics, Mathematical Theory & Analysis, Advanced Mathematics, Theoretical Computer Science, Calculus, Mathematics and Mathematical Modeling, Integral Calculus, Applied Mathematics
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures
Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Sampling (Statistics), Algorithms
Stanford University
Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Bayesian Statistics, Probability
Pragmatic AI Labs
Skills you'll gain: Rust (Programming Language), Social Network Analysis, Algorithms, Network Model, Network Analysis, Data Structures, Command-Line Interface, JSON, Data Processing, Continuous Integration, Package and Software Management, Linear Algebra
In summary, here are 10 of our most popular graph theory courses
- Computer Science: Algorithms, Theory, and Machines:Â Princeton University
- Discrete Mathematics:Â Shanghai Jiao Tong University
- Game Theory:Â Stanford University
- Graph Search, Shortest Paths, and Data Structures:Â Stanford University
- Algorithms, Part II:Â Princeton University
- Graph Analytics for Big Data:Â University of California San Diego
- Mathematical Foundations for Computing:Â University of London
- Analytic Combinatorics:Â Princeton University
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming:Â Stanford University
- Probabilistic Graphical Models: A Compact Introduction:Â Coursera
