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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.


More to explore:

Popular Graph Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tsinghua University

    Data Structures and Algorithms (II)

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Computer Programming

    Intermediate · Course · 1 - 3 Months

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

    University of Pittsburgh

    Tableau, Networks & Time Series Data Visualization

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    AI Enhancement with Knowledge Graphs - Mastering RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, AI Workflows, Embeddings, Large Language Modeling, Graph Theory, Query Languages, Data Visualization Software, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    ChatGPT + Excel: Master AI-driven Formulas & Visualizations

    Skills you'll gain: Excel Macros, Excel Formulas, Microsoft Excel, Data Visualization, ChatGPT, Spreadsheet Software, AI Enablement, Data Validation, Prototyping, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part II

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Java Programming, Linear Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 3 - 6 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, SQL, Databases, MySQL, Database Design, Java Programming, Data Access, Database Management, Relational Databases, Software Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Data Structures and Design Patterns for Game Developers

    Skills you'll gain: Object Oriented Design, Unity Engine, Game Design, Software Design Patterns, Data Structures, C# (Programming Language), Video Game Development, Programming Principles, Graph Theory, Software Architecture, Algorithms, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    149 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Data Structures and Algorithms (II): Tsinghua University
  • Tableau, Networks & Time Series Data Visualization: University of Pittsburgh
  • AI Enhancement with Knowledge Graphs - Mastering RAG Systems: Packt
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Applied Social Network Analysis in Python: University of Michigan
  • ChatGPT + Excel: Master AI-driven Formulas & Visualizations: Vanderbilt University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Algorithms, Part II: Princeton University

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