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    Graph Courses Online

    Learn about graphs and their applications in data structures. Understand graph theory, algorithms, and how to represent data using graphs.

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    Explore the Graph Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Molecular Biology, Pharmacology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      322 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Secure Your Applications

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      429 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, LLM Application, Tool Calling, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Natural Language Processing, Data Pipelines, Data Integration

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Presenting Data Using Charts with Canva

      Skills you'll gain: Presentations, Sales Presentations, Data Visualization, Productivity Software, Design

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      70+ JavaScript Challenges - Data Structures and Algorithms

      Skills you'll gain: Graph Theory, Javascript, Pseudocode, Programming Principles, Computer Science, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Performance Testing with JMeter for absolute beginners

      Skills you'll gain: Performance Testing, Test Tools, Test Execution Engine, Application Performance Management, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      76 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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, Operating Cost, Cost Benefit Analysis, Market Analysis, Consumer Behaviour, Policty Analysis, Research, and Development, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

    • 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, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · 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, Data Analysis Expressions (DAX)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Biomedical Technology, Image Analysis, Process Driven Development, Medical Imaging, Big Data, Health Informatics, Data Science, Statistical Modeling, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Text Mining, Molecular Biology, Network Analysis, Graph Theory, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

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    1…567…21

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

    • Genome Sequencing (Bioinformatics II): University of California San Diego
    • Secure Your Applications: Microsoft
    • Overview of Data Visualization: Coursera Project Network
    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Presenting Data Using Charts with Canva: Coursera Project Network
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
    • Performance Testing with JMeter for absolute beginners: Coursera Project Network
    • Principles of Economics: Microeconomics - Down to Business: Rice University
    • Probabilistic Graphical Models 3: Learning: Stanford University

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