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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
    I

    IBM

    Introduction to NoSQL Databases

    Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    375 reviews

    Beginner · 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, SQL, 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
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    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, 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
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    D

    Duke University

    Advanced Data Engineering

    Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Vector Databases, Scalability, Database Management Systems, Database Management, Data Pipelines, Data Architecture, Real Time Data, MySQL, Complex Problem Solving, Data Import/Export, Data Transformation, Graph Theory

    4.2
    Rating, 4.2 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    P

    Packt

    Foundations of Data Structures and Algorithm Analysis

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Biomedical Technology, Big Data, Data Science, Data Ethics, Health Informatics, Statistical Modeling, Machine Learning, Natural Language Processing, Data Integration, Network Analysis, Graph Theory, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Birla Institute of Technology & Science, Pilani

    Data Structures and Algorithms

    Skills you'll gain: Algorithms, Programming Principles, Data Science, Data Management, Computational Thinking, Data Manipulation, C and C++, Software Design, Analysis, Problem Solving, Complex Problem Solving

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Computation and Visualization for Analytics Part 2

    Skills you'll gain: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 4: Robot Motion Planning and Control

    Skills you'll gain: Robotics, Control Systems, Artificial Intelligence, Automation, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Linear Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to NoSQL Databases: IBM
  • Java Development with Databases : SkillUp
  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Advanced Data Engineering: Duke University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Data Structures and Algorithms: Birla Institute of Technology & Science, Pilani
  • Computation and Visualization for Analytics Part 2: Northeastern University

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