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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


  • U

    University of Colorado System

    Data Structures and Design Patterns for Game Developers

    Skills you'll gain: Object Oriented Design, Object Oriented Programming (OOP), Unity Engine, Software Design Patterns, Data Structures, C# (Programming Language), Video Game Development, Software Design, Programming Principles, Graph Theory, Software Architecture, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    149 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Presenting Data Using Charts with Canva

    Skills you'll gain: Presentations, Sales Presentations, Sales Presentation, Data Visualization, Productivity Software, Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply C++ Graphics to Visualize Pandemic Population Data

    Skills you'll gain: Data Presentation, Scientific Visualization, Data Visualization Software, Statistical Visualization, Plot (Graphics), Visualization (Computer Graphics), C++ (Programming Language), Application Development, Graphing, Computer Graphics, C and C++, Data Mapping, Application Frameworks, Verification And Validation, Graphical Tools, Data Processing, Computer Graphic Techniques, Software Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Delivery Problem

    Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Python Programming, Program Development, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    376 reviews

    Beginner · 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, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    557 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Model Training, Model Optimization, Deep Learning, Distributed Computing, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    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
    ·
    31 reviews

    Intermediate · 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, Computational Thinking, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Motion Planning for Self-Driving Cars

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    487 reviews

    Advanced · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Model Optimization, Applied Mathematics, Theoretical Computer Science, Combinatorics, Operations Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    I/O-efficient algorithms

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

1…8910…26

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

  • Data Structures and Design Patterns for Game Developers: University of Colorado System
  • Presenting Data Using Charts with Canva: Coursera
  • Apply C++ Graphics to Visualize Pandemic Population Data: EDUCBA
  • Delivery Problem: University of California San Diego
  • Unordered Data Structures: University of Illinois Urbana-Champaign
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Advanced PyTorch Techniques and Applications: Packt
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Motion Planning for Self-Driving Cars: University of Toronto

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