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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


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    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
    ·
    339 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development

    4.8
    Rating, 4.8 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 3 Months

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    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

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    L&T EduTech

    Load Flow Analysis

    Skills you'll gain: Electric Power Systems, Electrical Power, Systems Analysis, Electrical Engineering, Network Analysis, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Simulations, Graph Theory

    4
    Rating, 4 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

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    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
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    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
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    35 reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

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    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Machine Learning Algorithms, Solution Design, Problem Solving, Mathematical Theory & Analysis

    Beginner · Course · 1 - 3 Months

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    S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
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    202 reviews

    Intermediate · Course · 1 - 3 Months

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    SkillUp

    Java Development with Databases 

    Skills you'll gain: Hibernate (Java), Object-Relational Mapping, Spring Boot, Restful API, Java, NoSQL, Database Development, SQL, Databases, MySQL, Database Design, Java Programming, Data Access, Database Management, Relational Databases, Software Development

    4.8
    Rating, 4.8 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Data Structures and Design Patterns for Game Developers

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

    4.6
    Rating, 4.6 out of 5 stars
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    149 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Advanced Data Structures in Java: University of California San Diego
  • Game Theory: Stanford University
  • Load Flow Analysis: L&T EduTech
  • Applied Social Network Analysis in Python: University of Michigan
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Principles of Economics: Microeconomics - Down to Business: Rice University
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
  • Discrete Mathematics: Shanghai Jiao Tong University

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