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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


  • G

    Google Cloud

    Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Analysis Software, Data Visualization Software, Big Data, Databases, Tensorflow

    Advanced · Project · Less Than 2 Hours

  • 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

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    A Second Brain with Obsidian

    Skills you'll gain: Journals, Organizational Skills, Document Management, Information Architecture, Content Management, Network Analysis, System Configuration

    3.3
    Rating, 3.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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
    T

    Tsinghua University

    Data Structures and Algorithms (II)

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Computer Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Communicating Data Science Results

    Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct

    3.4
    Rating, 3.4 out of 5 stars
    ·
    142 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Computer Programming, Unit Testing, Programming Principles, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, System Design and Implementation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Performance Testing, Android Development, Transfer Learning, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Hardware Architecture, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Plots Creation using Matplotlib Python

    Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    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

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1…789…22

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

  • Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time: Google Cloud
  • NoSQL systems: Universidad Nacional Autónoma de México
  • Applied Social Network Analysis in Python: University of Michigan
  • Advanced PyTorch Techniques and Applications: Packt
  • A Second Brain with Obsidian: Coursera
  • AWS: Databases: Whizlabs
  • Data Structures and Algorithms (II): Tsinghua University
  • Communicating Data Science Results: University of Washington
  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Introduction to On-Device AI: DeepLearning.AI

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