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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 Trial
    Free Trial
    R

    Rice University

    Principles of Economics: Microeconomics - Down to Business

    Skills you'll gain: Business Economics, Game Theory, Market Dynamics, Economics, Market Analysis, Supply And Demand, Operating Cost, Economics, Policy, and Social Studies, Cost Benefit Analysis, Public Policies, Cost Accounting, Consumer Behaviour, Policy Analysis, Research, and Development, Competitive Analysis, Environmental Issue, Production Process, Resource Allocation, Budgeting, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, R (Software), Social Sciences, Statistical Analysis, R Programming, Statistical Software, Sociology, Network Model, Statistical Modeling, Statistical Hypothesis Testing, Statistical Methods, Dependency Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Computer Programming, Solution Design, Problem Solving, Mathematical Theory & Analysis

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Plot (Graphics), Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Data Structures and Algorithms

    Skills you'll gain: Algorithms, Data Store, Data Management, Computational Thinking, Memory Management, Data Access, C and C++, Software Design, Problem Solving, Complex Problem Solving

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    AI Agent Architecture: Reasoning, Memory, and LangGraph

    Skills you'll gain: AI Workflows, Agentic Workflows, LangGraph, AI Orchestration, Agentic systems, Generative AI Agents, LangChain, LLM Application, AI Integrations, Software Architecture, Systems Architecture, Software Design, Data Validation, Data Persistence, Context Management, Scalability, Systems Integration, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Real Time Data, Cloud Computing, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    343 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Java Development with Databases 

    Skills you'll gain: Hibernate (Java), Object-Relational Mapping, Spring Boot, Restful API, Java, NoSQL, Database Development, Spring Framework, SQL, Database Systems, Databases, Database Design, Application Frameworks, Java Programming, Data Access, Database Management, Relational Databases, Back-End Web Development, Software Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Shanghai Jiao Tong University

    Discrete Mathematics

    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

    3.3
    Rating, 3.3 out of 5 stars
    ·
    203 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular graph courses

  • Principles of Economics: Microeconomics - Down to Business: Rice University
  • Social Network Analysis: Johns Hopkins University
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
  • Geometry and Calculus for Computing: University of London
  • Data Structures and Algorithms: Birla Institute of Technology & Science, Pilani
  • AI Agent Architecture: Reasoning, Memory, and LangGraph: Board Infinity
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Java Development with Databases : SkillUp

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