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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.


Popular Graph Courses and Certifications


  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, 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
    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, 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
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K 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, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · 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, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
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    326 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Storage and Queries

    Skills you'll gain: Data Storage, Query Languages, Vector Databases, Data Lakes, File Systems, Database Systems, SQL, Databases, Database Management Systems, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Apache Kafka, Amazon S3, Data Pipelines, Apache Spark, Performance Tuning, Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Database to AI: Practical Data Analytics Integration

    Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Data Management, Apache Hadoop, Apache Spark, Conceptual Design

    Mixed · Course · 1 - 4 Weeks

  • 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, 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

  • P

    Packt

    70+ JavaScript Challenges - Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Advanced Data Engineering

    Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Vector Databases, Scalability, Database Management Systems, Database Management, Data Pipelines, Data Architecture, Real Time Data, MySQL, Complex Problem Solving, Data Import/Export, Data Transformation, Graph Theory

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    NoSQL systems

    Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Management Systems, Databases, Database Design, Relational Databases, Query Languages, Apache Cassandra, Data Storage Technologies, Scalability, Graph Theory, Unstructured Data, Maintainability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    170 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Genome Sequencing (Bioinformatics II): University of California San Diego
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Data Storage and Queries: DeepLearning.AI
  • Database to AI: Practical Data Analytics Integration: Northeastern University
  • Statistical Methods for Computer Science: Johns Hopkins University
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
  • Advanced Data Engineering: Duke University

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