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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: 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 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 California San Diego

    Number Theory and Cryptography

    Skills you'll gain: Cryptographic Protocols, Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    608 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    頑想學概率:機率一 (Probability (1))

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Beginner · Course · 1 - 3 Months

  • 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

  • Status: Preview
    Preview
    É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Statistics, Interactive Data Visualization, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    105 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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Linear Algebra, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Graphing, Mathematical Modeling, Spatial Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    English for Science, Technology, Engineering, and Mathematics

    Skills you'll gain: Research, Vocabulary, Climate Change Adaptation, Literacy, English Language, Environment, Sustainable Technologies, Environmental Science, Grammar, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 3 Months

  • 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

  • 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 Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Markov Model, Probability, Predictive Analytics, Process Optimization, Risk Management, Statistics, Probability Distribution, Simulation and Simulation Software, Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.3K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Number Theory and Cryptography: University of California San Diego
  • 頑想學概率:機率一 (Probability (1)): National Taiwan University
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
  • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
  • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
  • English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
  • 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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