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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

  • 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, Graph Theory, Software Architecture, Algorithms, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    149 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    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
    D

    DeepLearning.AI

    Data Storage and Queries

    Skills you'll gain: Data Storage, Query Languages, Data Lakes, File Systems, Database Systems, SQL, Databases, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Amazon S3, Graph Theory, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Databases

    Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Databases, Database Architecture and Administration, Relational Databases, Apache Cassandra, NoSQL, Amazon S3, Data Warehousing, SQL, Redis, Data Analysis Expressions (DAX)

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Presenting Data Using Charts with Canva

    Skills you'll gain: Presentations, Sales Presentations, Data Visualization, Productivity Software, Design

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Pharmacology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    324 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Spatial Analysis, Advanced Analytics, Statistical Methods, Image Analysis, Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Secure Your Applications

    Skills you'll gain: Azure Active Directory, Microsoft Azure, Active Directory, Web Applications, Cloud Applications, Application Security, Cloud Security, Identity and Access Management, Authorization (Computing), Key Management, Application Programming Interface (API), Authentications, Encryption

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 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: Big Data, Apache Spark, Data Storage Technologies, Apache Hadoop, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning, Live Streaming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • E

    EIT Digital

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Tableau, Networks & Time Series Data Visualization

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

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1…789…22

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

  • Data Structures and Design Patterns for Game Developers: University of Colorado System
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Data Storage and Queries: DeepLearning.AI
  • AWS: Databases: Whizlabs
  • Presenting Data Using Charts with Canva: Coursera Project Network
  • Genome Sequencing (Bioinformatics II): University of California San Diego
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Secure Your Applications: Microsoft
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign

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