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Discrete Mathematics Courses Online

Master discrete mathematics for computer science and engineering. Learn about logic, set theory, combinatorics, graph theory, and algorithms.

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Explore the Discrete Mathematics Course Catalog

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Mathematical Foundations for Cryptography

    Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Statistics for Data Science Essentials

    Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    907 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Stanford University

    Understanding Einstein: The Special Theory of Relativity

    Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Graphic Design

    Skills you'll gain: Infographics, Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Graphics Software, Typography, Design Software, Design Reviews, Adobe Creative Cloud, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    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
    T

    Tecnológico de Monterrey

    1.- El Cálculo - Modelo Lineal

    Skills you'll gain: Arithmetic, Mathematics Education, Mathematical Modeling, Education Software and Technology, Calculus, Applied Mathematics, Mathematical Theory & Analysis, Algebra, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    Tecnológico de Monterrey

    3.- El Cálculo - Modelo Cúbico

    Skills you'll gain: Applied Mathematics, Algebra, Mathematical Modeling, Mathematics Education, Graphing, Calculus, Mathematical Theory & Analysis, Graphical Tools, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    235 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Mathematical Foundations for Cryptography: University of Colorado System
  • Statistics for Data Science Essentials: University of Pennsylvania
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Understanding Einstein: The Special Theory of Relativity: Stanford University
  • Machine Learning for All: University of London
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Graphic Design: University of Colorado Boulder
  • Introduction to Probability and Data with R: Duke University

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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