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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, Algorithms, Network Routing, Programming Principles, Data Structures, Network Analysis, Pseudocode, Network Model

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Data Visualization

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Presentation, Infographics, Data Storytelling, User Centered Design, User Experience Design, Usability, Human Computer Interaction, Usability Testing, User Research, Design Elements And Principles

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 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, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · 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, Davis

      Fundamentals of Visualization with Tableau

      Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Data Ethics, Data Storytelling, Dashboard, Tableau Software, Data Manipulation, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Network Model, Social Sciences, Sociology, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Graph Theory, Mathematical Modeling, Markov Model, Probability & Statistics, Probability Distribution, Bayesian Statistics, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      754 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Arranging and Visualizing Data in R

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export, Software Installation

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

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

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      382 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Algorithms on Graphs: University of California San Diego
    • Fundamentals of Data Visualization: University of Colorado Boulder
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Data Visualization in R with ggplot2: Johns Hopkins University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Fundamentals of Visualization with Tableau: University of California, Davis
    • Social and Economic Networks: Models and Analysis: Stanford University
    • Arranging and Visualizing Data in R : University of Michigan
    • Probabilistic Graphical Models 1: Representation: Stanford University

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