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Graph Theory Courses

Graph Theory courses can help you learn about vertices, edges, paths, and cycles, as well as concepts like connectivity and graph coloring. You can build skills in network analysis, algorithm design, and problem-solving techniques that apply to various fields such as computer science, biology, and social sciences. Many courses introduce tools like Python libraries for graph analysis, visualization software, and algorithms for optimizing network flows, allowing you to apply your knowledge to real-world data and complex systems.


More to explore:

Popular Graph Theory Courses and Certifications


  • Status: Free Trial
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    Whizlabs

    AWS: Monitoring, Logging and Governance

    Skills you'll gain: Amazon CloudWatch, Serverless Computing, Amazon Web Services, Application Deployment, AWS CloudFormation, Cloud Management, Cloud Deployment, Continuous Deployment, Application Performance Management, Cloud Applications, AWS Identity and Access Management (IAM), System Monitoring, AWS Kinesis, Event Monitoring, Amazon S3, Infrastructure as Code (IaC), Data Security, Disaster Recovery, Anomaly Detection

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    S

    Skillshare

    DaVinci Resolve: 15 Tips from a Pro Colorist

    Skills you'll gain: Video Editing, Collaborative Software, Post-Production, Cinematography, Color Theory, Image Quality, Editing, File Management

    Beginner · Course · 1 - 3 Months

  • Status: New
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    U

    Universitat Politècnica de València

    Introduction to interdisciplinary sustainable architecture

    Skills you'll gain: Sustainable Architecture, Systems Thinking, Architectural Engineering, Sustainable Systems, Architectural Design, Sustainable Design, Building Design, Architecture and Construction, Civil and Architectural Engineering, Sustainable Development, Landscape Architecture, Environmental Engineering, Sustainable Engineering, Corporate Sustainability, Construction, Environmental Regulations, Policty Analysis, Research, and Development, Environment and Resource Management, Materials science, Innovation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    Agile Project Management: Leadership & Core Skills

    Skills you'll gain: Meeting Facilitation, Agile Project Management, Employee Coaching, Agile Methodology, Team Building, Conflict Management, Leadership and Management, Leadership, Team Leadership, Organizational Leadership, Kanban Principles, Decision Making, Active Listening

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free
    Free
    T

    The University of Edinburgh

    Learning for Sustainable Futures

    Skills you'll gain: Systems Thinking, Sustainable Systems, Sustainable Development, Environmental Issue, Teaching, Pedagogy, Action Oriented, Social Impact, Visionary, Health Disparities, Cultural Diversity, Climate Change Mitigation

    Beginner · Course · 1 - 3 Months

  • Status: New
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    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    Mixed · Course · 1 - 3 Months

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    Coursera

    Advanced SPFx & Power Platform: SharePoint Mastery

    Skills you'll gain: Microsoft Power Automate/Flow, Microsoft Power Platform, Microsoft 365, Data Integration, Digital Transformation, React.js, Frontend Performance, Business Process Automation, Web Development Tools, Automation, Process Optimization, Application Programming Interface (API), Data Transformation, Integration Testing, Development Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Project Finance: Analyze, Evaluate & Model

    Skills you'll gain: Project Finance, Financial Modeling, Feasibility Studies, Project Risk Management, Risk Management, Risk Analysis, Financial Analysis, Stakeholder Communications, Capital Budgeting, Business Risk Management, Cost Estimation, Financial Forecasting, Finance, Return On Investment, Business Valuation, Cash Flow Forecasting

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

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

  • AWS: Monitoring, Logging and Governance: Whizlabs
  • DaVinci Resolve: 15 Tips from a Pro Colorist: Skillshare
  • Introduction to interdisciplinary sustainable architecture: Universitat Politècnica de València
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Agile Project Management: Leadership & Core Skills: Packt
  • Introduction to RNN and DNN: Packt
  • Learning for Sustainable Futures: The University of Edinburgh
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Advanced SPFx & Power Platform: SharePoint Mastery: Coursera

Skills you can learn in Algorithms

Graphs (22)
Mathematical Optimization (21)
Computer Program (20)
Data Structure (19)
Problem Solving (19)
Algebra (12)
Computer Vision (10)
Discrete Mathematics (10)
Graph Theory (10)
Image Processing (10)
Linear Algebra (10)
Reinforcement Learning (10)

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