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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 California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Graphing, Combinatorics, Network Analysis, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Traffic Flow Optimization, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Prompt Engineering, Query Languages, Vector Databases, Data Storage, Unstructured Data, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    98 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Network Model, Database Design, Big Data, Graphing, Apache Spark, Network Analysis, Analytics, Data Store, Data Management, Query Languages, Computing Platforms, Scalability, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, AI Workflows, LLM Application, Agentic Workflows, Agentic systems, Tool Calling, Generative AI Agents, Model Deployment, Large Language Modeling, Artificial Intelligence, Context Management, Data Persistence, Business Logic, Enterprise Architecture, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Data Processing, Network Model, Model Training, Database Design, Data Modeling, Regression Analysis, Data Management, Data Infrastructure, Data Presentation, Data Mining, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, R (Software), Social Sciences, Statistical Analysis, R Programming, Statistical Software, Sociology, Network Model, Statistical Modeling, Statistical Hypothesis Testing, Statistical Methods, Dependency Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Algorithms on Graphs

    Skills you'll gain: Graph Theory, Algorithms, Network Routing, Programming Principles, Social Network Analysis, Data Structures, Network Analysis, Routing Protocols, Network Model

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Java, Performance Testing, Java Programming, Computational Thinking, Memory Management, Spatial Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    189 reviews

    Advanced · Course · 1 - 4 Weeks

  • 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
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

1234…24

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

  • Introduction to Graph Theory: University of California San Diego
  • Knowledge Graphs for RAG: DeepLearning.AI
  • Graph Analytics for Big Data: University of California San Diego
  • LangGraph Framework: Coursera
  • Big Data: University of California San Diego
  • Social Network Analysis: Johns Hopkins University
  • Algorithms on Graphs: University of California San Diego
  • Algorithms, Part I: Princeton University
  • Algorithmic Thinking (Part 1): Rice University
  • Trees and Graphs: Basics: University of Colorado Boulder

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