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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


  • Status: Free Trial
    Free Trial
    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
    ·
    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
    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
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • 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
    ·
    343 reviews

    Mixed · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Geometric Algorithms

    Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Model Training, Model Optimization, Deep Learning, Distributed Computing, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Plot (Graphics), Data Visualization, Generative AI, Vector Databases, LLM Application, Text Mining, Dimensionality Reduction

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • C

    Coursera

    A Second Brain with Obsidian

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

    3.1
    Rating, 3.1 out of 5 stars
    ·
    29 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    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
    Rating, 4.6 out of 5 stars
    ·
    275 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Unordered Data Structures

    Skills you'll gain: Graph Theory, Data Structures, Unstructured Data, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    557 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Improve Business Performance with Google Forms

    Skills you'll gain: Google Sheets, Data Visualization, User Feedback, Customer experience improvement, Spreadsheet Software, Customer Insights, Customer Analysis, Customer Service, Google Workspace, Trend Analysis, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    560 reviews

    Intermediate · Guided Project · Less Than 2 Hours

1…678…25

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

  • Gen AI - RAG Application Development using LlamaIndex: Packt
  • AWS: Databases: Whizlabs
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Geometric Algorithms: 28DIGITAL
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • A Second Brain with Obsidian: Coursera
  • Building Custom Regional Reports with Google Analytics: Coursera

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