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    Graph Courses Online

    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 California San Diego

      Algorithms on Graphs

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, System Design and Implementation, Network Routing, Network Analysis, Data Mining, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Data Structures in Java

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, C (Programming Language), Theoretical Computer Science, C++ (Programming Language), Java, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Visualization in R with ggplot2

      Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization, Data Visualization Software, R Programming, Scatter Plots, Heat Maps, Graphing, Tidyverse (R Package), Graphics Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      129 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

      Skills you'll gain: Apache Spark, Big Data, Apache Hadoop, Data Storage Technologies, Deep Learning, Cloud Computing, Distributed Computing, Data Processing, Unsupervised Learning, Real Time Data, Machine Learning, NoSQL, Machine Learning Algorithms, Graph Theory, Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      342 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Machine Learning Algorithms, Applied Mathematics, Graph Theory, Algorithms, Python Programming, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Discrete Optimization

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      779 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Shanghai Jiao Tong University

      Discrete Mathematics

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

      3.3
      Rating, 3.3 out of 5 stars
      ·
      199 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Data Science, Process Driven Development, Machine Learning, Health Informatics, Data Ethics, Natural Language Processing, Image Analysis, Healthcare Ethics, Big Data, Python Programming, Medical Imaging, Graph Theory, Network Analysis, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Logical Reasoning, Combinatorics, Information Technology, Algebra, Computational Thinking, Computer Science, Arithmetic, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      280 reviews

      Beginner · Course · 3 - 6 Months

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

    • Algorithms on Graphs: University of California San Diego
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Advanced Data Structures in Java: University of California San Diego
    • Data Structures: University of California San Diego
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Data Visualization in R with ggplot2: Johns Hopkins University
    • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Discrete Optimization: Georgia Institute of Technology
    • Discrete Mathematics: Shanghai Jiao Tong University

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