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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.


More to explore:

Popular Graph Courses and Certifications


  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Operations Research, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    556 reviews

    Mixed · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, Data Access, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Economics: Microeconomics - Down to Business

    Skills you'll gain: Business Economics, Market Dynamics, Economics, Game Theory, Supply And Demand, Operating Cost, Cost Benefit Analysis, Market Analysis, Consumer Behaviour, Policty Analysis, Research, and Development, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • 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
    ·
    30 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    70+ JavaScript Challenges - Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    NoSQL systems

    Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Management Systems, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Data Storage Technologies, Scalability, Graph Theory, Unstructured Data, Maintainability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    169 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    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: New
    New
    Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Teaching Impacts of Technology: Fundamentals

    Skills you'll gain: Digital pedagogy, digital literacy, Computer Science, Information Technology, Computational Thinking, Technology Solutions, Social Impact, Computer Networking, Geographic Information Systems, Media and Communications, Live Streaming, Algorithms, Global Positioning Systems, Data Analysis Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Embeddings, Agentic systems, Application Development, Data Pipelines, Data Integration, Development Environment

    Intermediate · Course · 1 - 4 Weeks

1…678…22

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

  • Approximation Algorithms: 28DIGITAL
  • Unordered Data Structures: University of Illinois Urbana-Champaign
  • I/O-efficient algorithms: 28DIGITAL
  • Principles of Economics: Microeconomics - Down to Business: Rice University
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
  • NoSQL systems: Universidad Nacional Autónoma de México
  • Computation and Visualization for Analytics Part 2: Northeastern University
  • Machine Learning with PyTorch and Scikit-Learn: Packt

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