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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


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    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

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    Northeastern University

    Software Testing for Engineers Part 2

    Skills you'll gain: Integration Testing, Software Testing, Software Quality Assurance, Code Coverage, Test Automation, White-Box Testing, Test Case, Software Engineering, Test Tools, Regression Testing, Quality Assurance, Security Testing, Performance Testing, Usability Testing, Continuous Integration, Usability, Performance Metric

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Economics: Microeconomics - Down to Business

    Skills you'll gain: Business Economics, Market Dynamics, Economics, Game Theory, Supply And Demand, Cost Accounting, Operating Cost, Cost Benefit Analysis, Public Policies, Market Analysis, Consumer Behaviour, Policy Analysis, Research, and Development, Budgeting, Strategic Thinking, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tsinghua University

    Data Structures and Algorithms (II)

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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Biostatistics, Image Analysis, Medical Imaging, Process Modeling, Data Science, Applied Machine Learning, Data Ethics, Health Informatics, Machine Learning Methods, Statistical Modeling, Network Model, Statistical Methods, Data Analysis, Machine Learning, Natural Language Processing, Probability & Statistics, Clinical Documentation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    341 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    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

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    343 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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

    3.8
    Rating, 3.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Databases

    Skills you'll gain: Amazon DynamoDB, Amazon Web Services, Amazon Redshift, Databases, Database Architecture and Administration, Database Design, Relational Databases, Apache Cassandra, NoSQL, 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
    M

    Microsoft

    Secure Your Applications

    Skills you'll gain: Azure Active Directory, Microsoft Azure, Web Applications, Cloud Applications, Application Security, Cloud Security, Identity and Access Management, Authorization (Computing), Key Management, Application Development, Security Strategy, Application Programming Interface (API), Authentications, Encryption

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, 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

1…567…25

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

  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Software Testing for Engineers Part 2: Northeastern University
  • Principles of Economics: Microeconomics - Down to Business: Rice University
  • Data Structures and Algorithms (II): Tsinghua University
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Code and framework based agent development: Microsoft
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Gen AI - RAG Application Development using LlamaIndex: Packt
  • AWS: Databases: Whizlabs

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