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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
    U

    University of Illinois Urbana-Champaign

    Unordered Data Structures

    Skills you'll gain: Graph Theory, Data Structures, Unstructured Data, Network Routing, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    557 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Structures and Algorithms: The Complete Masterclass

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    37 reviews

    Intermediate · Specialization · 3 - 6 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

    Stanford University

    Probabilistic Graphical Models 1: Representation

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

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

    Advanced · 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
    Free
    A

    Amazon Web Services

    Getting Started with Amazon Neptune

    Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • 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
    ·
    73 reviews

    Beginner · 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: New
    New
    P

    Packt

    Unreal Engine 5 Environments – Artist Bootcamp

    Skills you'll gain: Virtual Reality, UI Components

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Code and framework based agent development

    Skills you'll gain: AI Orchestration, AI Workflows, OpenAI API, ChatGPT, Secure Coding, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

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

    Beginner · Course · 1 - 3 Months

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

  • Unordered Data Structures: University of Illinois Urbana-Champaign
  • Data Structures and Algorithms: The Complete Masterclass: Packt
  • Algorithms, Part II: Princeton University
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Getting Started with Amazon Neptune: Amazon Web Services
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • ChatGPT + Excel: Master AI-driven Formulas & Visualizations: Vanderbilt University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Unreal Engine 5 Environments – Artist Bootcamp: Packt

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