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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


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    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Biostatistics, Image Analysis, Medical Imaging, Process Modeling, Data Science, Applied Machine Learning, Data Ethics, Health Informatics, Machine Learning Methods, Statistical Modeling, Network Model, Statistical Methods, Data Analysis, Machine Learning, Natural Language Processing, Probability & Statistics, Clinical Documentation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    S

    Shanghai Jiao Tong University

    Discrete Mathematics

    Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Network Model, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Mathematics and Mathematical Modeling, Logical Reasoning, General Mathematics, Algorithms, Probability, Computer Science

    3.3
    Rating, 3.3 out of 5 stars
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    203 reviews

    Intermediate · Course · 1 - 3 Months

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    B

    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Computer Programming, Solution Design, Problem Solving, Mathematical Theory & Analysis

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Statistical Methods for Computer Science

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

    Intermediate · Specialization · 3 - 6 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Modern Databases

    Skills you'll gain: MongoDB, Redis, NoSQL, Database Management Systems, Database Systems, Databases, Data Store, Database Theory, Amazon DynamoDB, Relational Databases, Database Design, Apache Kafka, Database Management, SQL, Distributed Computing, Databricks, Big Data, Data Architecture, Data Modeling, Cloud Computing

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    Packt

    Advanced Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Computational Thinking, Memory Management, Software Visualization, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Introduction to NoSQL Databases

    Skills you'll gain: NoSQL, MongoDB, Database Development, Database Systems, Databases, Database Management Systems, Database Management, Database Software, Database Administration, Information Management, Apache Cassandra, Database Theory, Database Architecture and Administration, Distributed Computing, Query Languages, Data Modeling, IBM Cloud, Cloud Applications, Data Manipulation, JSON

    4.6
    Rating, 4.6 out of 5 stars
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    381 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    Intermediate Algorithms: Graphs, Trees, and Backtracking

    Skills you'll gain: Data Structures, Graph Theory, Algorithms

    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, Text Mining, Unstructured Data, Spatial Data Analysis, Advanced Analytics, Image Analysis, Algorithms, Correlation Analysis, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    NoSQL systems

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

    4.3
    Rating, 4.3 out of 5 stars
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    170 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Discrete Mathematics: Shanghai Jiao Tong University
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Modern Databases: Birla Institute of Technology & Science, Pilani
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Advanced Data Structures and Algorithms: Packt
  • Introduction to NoSQL Databases: IBM
  • Intermediate Algorithms: Graphs, Trees, and Backtracking: Packt

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