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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
    P

    Peking University

    算法基础

    Skills you'll gain: Algorithms, Computer Programming, Computational Thinking, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    321 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    离散数学概论 Discrete Mathematics Generality

    Skills you'll gain: Theoretical Computer Science, Graph Theory, Computational Logic, Logical Reasoning, Computational Thinking, Network Model, Deductive Reasoning, Geospatial Information and Technology, Mathematics and Mathematical Modeling, Computer Science, Algebra, Applied Mathematics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 3 - 6 Months

  • 2

    28DIGITAL

    Quantitative Formal Modeling and Worst-Case Performance Analysis

    Skills you'll gain: Logical Reasoning, Graph Theory, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    44 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Capstone: Analyzing (Social) Network Data

    Skills you'll gain: Social Network Analysis, Network Analysis, Peer Review, Graph Theory, Technical Communication, Data Structures, Algorithms, Analysis, Computer Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    101 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Applied Mathematics, Model Optimization, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Network Model, Probability, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    48 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Nanyang Technological University, Singapore

    Introduction to Complexity Science

    Skills you'll gain: Systems Engineering, Time Series Analysis and Forecasting, Social Studies, Quantitative Research, Sustainable Development, Critical Thinking and Problem Solving, Simulation and Simulation Software, Agentic systems, Systems Analysis, Computational Thinking, Mathematics and Mathematical Modeling, Graph Theory, Epidemiology, Jupyter

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Network Model, Combinatorics, Mathematical Software, Mathematical Modeling, Theoretical Computer Science, Model Optimization, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    PyTorch Ultimate 2024 - From Basics to Cutting-Edge

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Model Training, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Fine-tuning, Artificial Neural Networks, Machine Learning, Computer Vision, Generative Model Architectures, Graph Theory, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    P

    Peking University

    算法设计与分析 Design and Analysis of Algorithms

    Skills you'll gain: Algorithms, Pseudocode, Theoretical Computer Science, Mathematical Modeling, Combinatorics, Computational Thinking, Applied Mathematics, Graph Theory, Mathematical Theory & Analysis, Network Routing, Bioinformatics, Design Strategies, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts: Part 2

    Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Dataflow, Transaction Processing, Computer Security, Data Centers, Cyber Security Policies, Authorization (Computing), Apache Hadoop, Data Store, Database Theory, Cloud Security, Authentications, NoSQL, Algorithms, Data Integrity, Encryption, File Management, Graph Theory

    4.5
    Rating, 4.5 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Shanghai Jiao Tong University

    离散数学

    Skills you'll gain: Graph Theory, Theoretical Computer Science, Combinatorics, Logical Reasoning, Computational Thinking, Data Structures, Computer Science, Deductive Reasoning, Applied Mathematics, Algorithms, Network Model, Computer Networking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    An Introduction to Logic for Computer Science

    Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Artificial Intelligence, Cryptography, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • 算法基础: Peking University
  • 离散数学概论 Discrete Mathematics Generality: Peking University
  • Quantitative Formal Modeling and Worst-Case Performance Analysis: 28DIGITAL
  • Capstone: Analyzing (Social) Network Data: University of California San Diego
  • Approximation Algorithms Part II: École normale supérieure
  • Introduction to Complexity Science: Nanyang Technological University, Singapore
  • Approximation Algorithms and Linear Programming: University of Colorado Boulder
  • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
  • 算法设计与分析 Design and Analysis of Algorithms: Peking University
  • Cloud Computing Concepts: Part 2: University of Illinois Urbana-Champaign

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