Graph Courses
Graph courses can help you learn about graph theory, data visualization, network analysis, and algorithm design. You can build skills in identifying relationships within data, optimizing paths, and analyzing connectivity. Many courses introduce tools like Gephi, NetworkX, and Tableau, that support visualizing complex data structures and performing in-depth analysis. By working with these tools, you'll gain practical experience in transforming raw data into meaningful insights, enhancing your ability to communicate findings effectively.
Popular Graph Courses and Certifications
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Graph Theory, Data Structures, Unstructured Data, Network Routing, Algorithms
Status: Free TrialJohns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model
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 TrialSkills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation
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: Free TrialJohns Hopkins University
Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations
Status: PreviewBirla Institute of Technology & Science, Pilani
Skills you'll gain: Computer Science, Programming Principles, Problem Solving, Mathematical Theory & Analysis, Problem Management, Scalability
Status: Free TrialUniversidad Nacional Autónoma de México
Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Management Systems, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Data Storage Technologies, Scalability, Graph Theory, Unstructured Data, Maintainability
Status: FreeAmazon Web Services
Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design
Status: PreviewNortheastern University
Skills you'll gain: Data Governance, Database Management, Database Systems, Databases, NoSQL, SQL, MongoDB, Relational Databases, Big Data, Graph Theory, Data Storage, Apache Hadoop, Data Manipulation
In summary, here are 10 of our most popular graph courses
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Unordered Data Structures:Â University of Illinois Urbana-Champaign
- Statistical Methods for Computer Science:Â Johns Hopkins University
- Computational and Graphical Models in Probability:Â Johns Hopkins University
- Introduction to NoSQL Databases:Â IBM
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Foundations of Data Structures and Algorithm Analysis:Â Packt
- Honors Algebra 2: Polynomials and Complex Numbers:Â Johns Hopkins University
- Algorithm Design: Mastering Computational Problem Solving:Â Birla Institute of Technology & Science, Pilani
- NoSQL systems: Universidad Nacional Autónoma de México
