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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
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Successful Presentation

    Skills you'll gain: Public Speaking, Presentations, Verbal Communication Skills, Storytelling, Drive Engagement, Communication, Persuasive Communication, Non-Verbal Communication, Business Writing, Composure, Adaptability, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 1

    Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    526 reviews

    Mixed · Course · 1 - 4 Weeks

  • T

    The Chinese University of Hong Kong

    Solving Algorithms for Discrete Optimization

    Skills you'll gain: Operations Research, Computational Logic, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Mathematical Software, Computational Thinking, Programming Principles, Theoretical Computer Science, Program Development, Performance Tuning, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

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

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    232K reviews

    Beginner · Course · 1 - 3 Months

  • T

    The Chinese University of Hong Kong

    Advanced Modeling for Discrete Optimization

    Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Graph Theory, Algorithms, Geometry, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Introduction to Engineering Mechanics

    Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Applied Mathematics, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 1 - Functions

    Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

    Skills you'll gain: Probability, Simulations, Probability Distribution, Probability & Statistics, Statistical Methods, Visualization (Computer Graphics), Mathematical Modeling, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    105 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Communications, Communication Systems, Electrical and Computer Engineering, Programming Principles, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Mathematical Modeling, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    631 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Games without Chance: Combinatorial Game Theory

    Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    211 reviews

    Mixed · Course · 1 - 3 Months

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

  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Successful Presentation: University of Colorado Boulder
  • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
  • Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique

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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