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Learn about graphs and their applications in data structures. Understand graph theory, algorithms, and how to represent data using graphs.

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Explore the Graph Course Catalog

  • Status: Free Trial
    Free Trial
    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
    ·
    2.7K reviews

    Intermediate · 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 AI, Deep Learning, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Supervised Learning, Google Cloud Platform, Machine Learning, Computer Vision, Flask (Web Framework), Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

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

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Comparing Genes, Proteins, and Genomes (Bioinformatics III)

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Computer Programming Tools, Graph Theory, Python Programming, Biology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Probability & Statistics, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Polynomials and Complex Numbers

    Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    VFX with Adobe After Effects from Novice to Expert

    Skills you'll gain: Adobe After Effects, Motion Graphics, Animations, Post-Production, Video Editing, 3D Assets, Timelines, Graphics Software, Color Theory, Image Quality, Typography

    4.7
    Rating, 4.7 out of 5 stars
    ·
    220 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), C and C++, Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Data-oriented programming, Programming Principles, Graph Theory, Computer Science, Computational Thinking, Artificial Intelligence, Integrated Development Environments, Software Technical Review, Game Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Programming Principles, Integrated Development Environments, Graph Theory, Computer Science, File Systems, Artificial Intelligence, Integration Testing, Software Design, Game Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Machine Controls, Control Systems, Automation Engineering, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering Calculations, Mechanics, Mechanical Engineering, Artificial Intelligence, Torque (Physics), Applied Mathematics, Engineering Analysis, Automation, Engineering, Virtual Environment, Robotic Process Automation, Graph Theory, Matlab, Computer Programming Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

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

    Beginner · Specialization · 3 - 6 Months

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

  • Applied Social Network Analysis in Python: University of Michigan
  • Advanced PyTorch Techniques and Applications: Packt
  • Algorithms, Part I: Princeton University
  • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
  • Algorithms: Stanford University
  • Honors Algebra 2: Polynomials and Complex Numbers: Johns Hopkins University
  • VFX with Adobe After Effects from Novice to Expert: EDUCBA
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Statistical Methods for Computer Science: Johns Hopkins University

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