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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: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Algorithms: Graphs, Trees, and Backtracking

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

    Intermediate · Course · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Modern Databases

    Skills you'll gain: MongoDB, Redis, NoSQL, Database Management Systems, Database Systems, Databases, Data Store, Database Theory, Amazon DynamoDB, Relational Databases, Database Design, Apache Kafka, Database Management, SQL, Distributed Computing, Databricks, Big Data, Data Architecture, Data Modeling, Cloud Computing

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · 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

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Advanced Data Engineering

    Skills you'll gain: Apache Airflow, Vector Databases, Performance Tuning, Scalability, Database Management Systems, Database Management, Data Pipelines, MySQL, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    22 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
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

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

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

    Advanced · 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

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Program Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Polynomials and Complex Numbers

    Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

1…567…26

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

  • Intermediate Algorithms: Graphs, Trees, and Backtracking: Packt
  • Modern Databases: Birla Institute of Technology & Science, Pilani
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Advanced Data Engineering: Duke University
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Algorithmic Thinking (Part 1): Rice University
  • Code and framework based agent development: Microsoft

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