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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


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    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

  • Status: Free Trial
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    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
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Intermediate Algorithms: Graphs, Trees, and Backtracking

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Birla Institute of Technology & Science, Pilani

    Data Structures and Algorithms

    Skills you'll gain: Algorithms, 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: Free Trial
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    Packt

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Generative AI Agents, Prompt Engineering Tools, Embeddings, Agentic systems, Application Development, Query Languages, Data Pipelines, Data Persistence

    3.8
    Rating, 3.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    70+ JavaScript Challenges - Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Javascript, Theoretical Computer Science, Programming Principles, Computational Thinking, Computer Science

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
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    32 reviews

    Intermediate · Course · 1 - 3 Months

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    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
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    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Plot (Graphics), Data Visualization, Generative AI, Vector Databases, LLM Application, Text Mining, Dimensionality Reduction

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Advanced Data Structures & Algorithms in Practice

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Python Programming, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Data Manipulation, Programming Principles, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Software Development Tools, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

1…567…26

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

  • Discrete Mathematics: Shanghai Jiao Tong University
  • Java Development with Databases : SkillUp
  • Intermediate Algorithms: Graphs, Trees, and Backtracking: Packt
  • Data Structures and Algorithms: Birla Institute of Technology & Science, Pilani
  • Gen AI - RAG Application Development using LlamaIndex: Packt
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
  • Advanced PyTorch Techniques and Applications: Packt
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt

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