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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


  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning

    ★ 4.6 (60) · Advanced · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Model Optimization, Applied Mathematics, Theoretical Computer Science, Combinatorics, Operations Research

    ★ 4.7 (33) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • U

    University of Pittsburgh

    Tableau, Networks & Time Series Data Visualization

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Network Model, Dashboard Creation, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Python Programming

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data

    ★ 4.1 (323) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Delivery Problem

    Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Python Programming, Program Development, Mathematical Modeling

    ★ 4.7 (376) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • T

    Tsinghua University

    Data Structures and Algorithms (II)

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

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    ★ 4.5 (27) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (326) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    A Second Brain with Obsidian

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

    ★ 3.1 (28) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Obsidian for Beginners: Journal and Track Tasks

    Skills you'll gain: Collaborative Software, Journals, Organizational Skills, Productivity, Ability To Meet Deadlines, Document Management, Project Management, Personal Development, Query Languages

    Beginner · Guided Project · Less Than 2 Hours

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Data Management for Analytics Part 2

    Skills you'll gain: Data Governance, Database Management, NoSQL, Data Management, SQL, Query Languages, Database Theory, MongoDB, Relational Databases, Big Data, Graph Theory, Data Storage, Social Network Analysis, Network Analysis, Data Integrity, Apache Hadoop, Data Manipulation

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
1…678…24

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

  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • I/O-efficient algorithms: 28DIGITAL
  • Approximation Algorithms: 28DIGITAL
  • Tableau, Networks & Time Series Data Visualization: University of Pittsburgh
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Delivery Problem: University of California San Diego
  • Data Structures and Algorithms (II): Tsinghua University
  • Advanced PyTorch Techniques and Applications: Packt
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • A Second Brain with Obsidian: Coursera

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