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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

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Generative AI Agents, Prompt Engineering Tools, Embeddings, Agentic systems, Application Development, Query Languages, Data Pipelines, Data Persistence

    Intermediate · Course · 1 - 4 Weeks

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

    Johns Hopkins University

    Computational and Graphical Models in Probability

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

    Intermediate · Course · 1 - 4 Weeks

    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
  • 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

    Foundations of Data Structures and Algorithm Analysis

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

    ★ 4.4 (31) · Intermediate · Course · 1 - 3 Months

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

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives

    ★ 4.7 (60) · Intermediate · Course · 1 - 3 Months

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

    University of California San Diego

    Teaching Impacts of Technology: Fundamentals

    Skills you'll gain: Digital pedagogy, digital literacy, Computer Science, Computational Thinking, Social Impact, Geospatial Information and Technology, Computer Networking, Media and Communications, Algorithms, Global Positioning Systems

    ★ 4.9 (39) · Beginner · Course · 1 - 3 Months

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

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

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

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

    Microsoft

    Code and framework based agent development

    Skills you'll gain: AI Orchestration, Prompt Patterns, AI Workflows, Agentic Workflows, AI Integrations, OpenAI API, Token Optimization, Test Script Development, Context Management, Code Reusability, Secure Coding, Memory Management, Authentications

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    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
  • C

    Coursera

    Building Custom Regional Reports with Google Analytics

    Skills you'll gain: Google Analytics, Data-Driven Marketing, Marketing Analytics, Email Automation, Dashboard Creation, Data-Driven Decision-Making, Web Analytics, Dashboard, Content Scheduling, Geospatial Information and Technology, Marketing, Data Analysis

    ★ 4.6 (274) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • 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 Visualization, Interactive Data Visualization, Data Visualization Software, Big Data, Database Development, Databases, Tensorflow

    Advanced · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…678…24

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

  • Gen AI - RAG Application Development using LlamaIndex: Packt
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • A Second Brain with Obsidian: Coursera
  • Data Structures and Algorithms (II): Tsinghua University
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Teaching Impacts of Technology: Fundamentals: University of California San Diego
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Code and framework based agent development: Microsoft
  • Obsidian for Beginners: Journal and Track Tasks: Coursera

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