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Network Theory Courses

Network Theory courses can help you learn about graph structures, connectivity, and network dynamics. You can build skills in analyzing complex systems, optimizing network performance, and understanding the spread of information or diseases. Many courses introduce tools like Python for network analysis, Gephi for visualization, and MATLAB for simulations, allowing you to apply these skills in practical work such as social network analysis, telecommunications, and epidemiology.


Popular Network Theory Courses and Certifications


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

    EDUCBA

    Elasticsearch Joins & Parent-Child Queries

    Skills you'll gain: Data Modeling, Query Languages, Data Mapping, NoSQL, Event-Driven Programming, Relational Databases, Scalability, Performance Tuning, JSON

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    R Programming

    Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Programming Principles, Data Structures, Performance Tuning, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    TensorFlow: Build & Deploy Face Mask Detection

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, System Requirements

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Visualization (Computer Graphics), Heat Maps, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
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    529 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

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

    4.8
    Rating, 4.8 out of 5 stars
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    828 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Hands-on Introduction to Linux Commands and Shell Scripting

    Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Linux, Unix Commands, Linux Servers, Scripting, Command-Line Interface, Ubuntu, Scripting Languages, Unix, Operating Systems, Network Protocols, Automation, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Programming Principles, Integrated Development Environments, Graph Theory, Computer Science, File Systems, Artificial Intelligence, Integration Testing, Software Design, Game Design

    4.4
    Rating, 4.4 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Basic Elements of Design: Design Principles and Software Overview

    Skills you'll gain: Design Elements And Principles, Graphic Design, Design, Typography, Adobe InDesign, Content Creation, Design Research, Information Architecture, Color Theory, Adobe Photoshop

    4.7
    Rating, 4.7 out of 5 stars
    ·
    990 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Elasticsearch Joins & Parent-Child Queries: EDUCBA
  • R Programming: Johns Hopkins University
  • TensorFlow: Build & Deploy Face Mask Detection: EDUCBA
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Introduction to Probability and Data with R: Duke University
  • Introduction to Machine Learning: Duke University
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
  • Generative AI with Large Language Models: DeepLearning.AI
  • AI Driven Machine Learning with Python: EDUCBA

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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