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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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    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Biostatistics, Image Analysis, Medical Imaging, Process Modeling, Data Science, Applied Machine Learning, Data Ethics, Health Informatics, Machine Learning Methods, Statistical Modeling, Network Model, Statistical Methods, Data Analysis, Machine Learning, Natural Language Processing, Probability & Statistics, Clinical Documentation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Toronto

    Motion Planning for Self-Driving Cars

    Skills you'll gain: Robotics, Network Routing, Graph Theory, Algorithms, Predictive Modeling, Scenario Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    487 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Biotechnology, Precision Medicine, Biochemistry, Brute-force attacks, Computational Thinking, Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    325 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Geometric Algorithms

    Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Foundations of Data Structures and Algorithm Analysis

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

    4.4
    Rating, 4.4 out of 5 stars
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    32 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    305 reviews

    Advanced · Course · 1 - 3 Months

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    N

    Northeastern University

    Data Management for Analytics Part 2

    Skills you'll gain: Data Governance, Database Management, NoSQL, Data Management, SQL, Query Languages, Database Theory, MongoDB, Relational Databases, Big Data, Graph Theory, Data Storage, Social Network Analysis, Network Analysis, Data Integrity, Apache Hadoop, Data Manipulation

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tsinghua University

    Data Structures and Algorithms (II)

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Applied Machine Learning, Bayesian Network, 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

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Code and framework based agent development

    Skills you'll gain: AI Orchestration, Prompt Patterns, AI Workflows, Agentic Workflows, AI Integrations, OpenAI API, Token Optimization, Test Script Development, Context Management, Code Reusability, Secure Coding, Memory Management, Authentications

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Advanced Data Engineering

    Skills you'll gain: Apache Airflow, Vector Databases, Performance Tuning, Scalability, Database Management Systems, Database Management, Data Pipelines, MySQL, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Motion Planning for Self-Driving Cars: University of Toronto
  • Genome Sequencing (Bioinformatics II): University of California San Diego
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Geometric Algorithms: 28DIGITAL
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Data Management for Analytics Part 2: Northeastern University
  • Data Structures and Algorithms (II): Tsinghua University
  • Computational and Graphical Models in Probability: Johns Hopkins University

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