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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.


More to explore:

Popular Graph Courses and Certifications


  • Status: Free
    Free
    A

    Amazon Web Services

    Getting Started with Amazon Neptune

    Skills you'll gain: Amazon Web Services, Databases, Database Management, Database Administration, NoSQL, Database Architecture and Administration, Technical Design

    Beginner · 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
    P

    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Data Structures and Algorithms

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 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: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    MapReduce with Hadoop: Analyze, Design & Deploy

    Skills you'll gain: Apache Hadoop, Big Data, Application Deployment, Social Network Analysis, Data Processing, Distributed Computing, Java, Text Mining, Graph Theory, File Systems

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 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, 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
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Structures and Algorithm Analysis

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Embeddings, Agentic systems, Application Development, Data Pipelines, Data Integration, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

1…567…23

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

  • Getting Started with Amazon Neptune: Amazon Web Services
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Apache Spark with Scala – Hands-On with Big Data!: Packt
  • Advanced Data Structures and Algorithms: Packt
  • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
  • MapReduce with Hadoop: Analyze, Design & Deploy: EDUCBA
  • Advanced PyTorch Techniques and Applications: Packt
  • AWS: Databases: Whizlabs
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Foundations of Data Structures and Algorithm Analysis: Packt

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