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
Status: FreeÉcole normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Probability
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming
Status: Free TrialSkills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Status: Free TrialRice University
Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Pseudocode, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Software Design Patterns, Debugging, Game Theory, Mathematical Modeling, Test Case
Status: Free TrialRice University
Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming, Program Development
28DIGITAL
Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, Data Access, Performance Tuning
Status: PreviewThe University of Edinburgh
Skills you'll gain: Self-Awareness, Curiosity, Open Mindset, Cognitive flexibility, Emotional Intelligence, Ethical Standards And Conduct, Learning Theory, Psychology, Psychological Evaluations, Surveys, Software Testing
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Data Encryption Standard, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Linear Algebra, Arithmetic
Searches related to graph theory
In summary, here are 10 of our most popular graph theory courses
- Approximation Algorithms Part II: École normale supérieure
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them:Â Stanford University
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors:Â Johns Hopkins University
- Genome Sequencing (Bioinformatics II):Â University of California San Diego
- Foundations of Data Structures and Algorithm Analysis:Â Packt
- Program Structure and Algorithms Part 2:Â Northeastern University
- Computational and Graphical Models in Probability:Â Johns Hopkins University
- Principles of Computing (Part 2):Â Rice University
- Algorithmic Thinking (Part 1):Â Rice University
- I/O-efficient algorithms:Â 28DIGITAL
