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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
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

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

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    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
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Interactive Data Visualization, LLM Application, Text Mining, Document Management, Data Processing, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • 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 1: Representation

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

  • P

    Packt

    SwiftUI Animations iOS 16 - Animate Anything with SwiftUI

    Skills you'll gain: Animations, UI Components, Apple iOS, Swift Programming, User Interface (UI), Interactive Design, Apple Xcode, Mobile Development, Object Oriented Programming (OOP), Programming Principles

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, 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 Minnesota

    Social Determinants of Health: Methodological Opportunities

    Skills you'll gain: Social Determinants Of Health, Community Health, Health Informatics, Health Equity, Health Policy, Research Methodologies, Data Analysis, Research, Public Health, Data Collection, Data Visualization

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Overview of Data Visualization

    Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    442 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    70+ JavaScript Challenges - Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Javascript, Pseudocode, Programming Principles, Computer Science, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • 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

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

  • Statistical Methods for Computer Science: Johns Hopkins University
  • Presenting Data Using Charts with Canva: Coursera
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Secure Your Applications: Microsoft
  • SwiftUI Animations iOS 16 - Animate Anything with SwiftUI: Packt
  • Advanced Data Structures in Java: University of California San Diego
  • Social Determinants of Health: Methodological Opportunities: University of Minnesota
  • Overview of Data Visualization: Coursera

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