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  • Discrete Mathematics

Discrete Mathematics Courses

Discrete Mathematics courses can help you learn logic, set theory, combinatorics, and graph theory. You can build skills in problem-solving, algorithm design, and mathematical reasoning, which are valuable in computer science and cryptography. Many courses introduce tools such as MATLAB or Python for implementing algorithms and visualizing mathematical concepts, allowing you to see how these skills apply in areas like data analysis and network design.


More to explore:

Popular Discrete Mathematics Courses and Certifications


  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 3: Robot Dynamics

    Skills you'll gain: Robotics, Simulation and Simulation Software, Mathematical Modeling, Mechanical Engineering, Vibrations, Algorithms, Torque (Physics), Control Systems, Applied Mathematics, Calculus, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    171 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
    ·
    101 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Functions & Applications

    Skills you'll gain: Mathematical Modeling, Graphing, Algebra, General Mathematics, Applied Mathematics, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    191 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Quantum Mechanics for Engineers

    Skills you'll gain: Electrical Engineering, Numerical Analysis, Linear Algebra, Physics, Angular, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Calculus, Differential Equations, Simulations, Physical Science

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    105 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Quantum Mechanics

    Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Simulations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Active Optical Devices

    Skills you'll gain: Semiconductors, Display Devices, Computer Displays, Systems Design, Electrical Engineering, Technical Design, Electronics, Electronics Engineering, Electronic Systems, Electronic Components, Materials science, Image Quality, Technology Solutions, Engineering Calculations, Mathematical Modeling, Performance Testing, Physics, Emerging Technologies, Applied Mathematics

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    109 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Imperial College London

    Introduction to Python for Researchers

    Skills you'll gain: Programming Principles, Microsoft Visual Studio, Computer Programming, Object Oriented Programming (OOP), Python Programming, Debugging, Development Environment, Data Structures, Software Testing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    276 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Mécanique de Newton

    Skills you'll gain: Differential Equations, Engineering Analysis, Mechanics, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Physics, Geometry, Vibrations, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    113 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Starweaver

    Introduction to Engineering Design

    Skills you'll gain: Computer-Aided Design, Engineering Design Process, Engineering, Engineering Practices, Simulation and Simulation Software, Conceptual Design, Sustainable Design, Creativity, Problem Solving, Prototyping, Innovation, User Centered Design, Analytical Skills, User Feedback, Emerging Technologies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular discrete mathematics courses

  • Modern Robotics, Course 3: Robot Dynamics: Northwestern University
  • Causal Inference: Columbia University
  • Algebra: Elementary to Advanced - Functions & Applications: Johns Hopkins University
  • Quantum Mechanics for Engineers: University of Colorado Boulder
  • Foundations of Quantum Mechanics: University of Colorado Boulder
  • Active Optical Devices: University of Colorado Boulder
  • Introduction to Neural Networks: Johns Hopkins University
  • Introduction to Python for Researchers: Imperial College London
  • How Diffusion Models Work: DeepLearning.AI
  • Mécanique de Newton: École Polytechnique Fédérale de Lausanne

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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