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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.

Popular Discrete Mathematics Courses and Certifications


  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Unsupervised Learning, Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Quantum computing, Applied Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    269 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Applied Mathematics, Data Collection

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    290 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Data Literacy, Machine Learning Algorithms, AI literacy, Data Ethics, Data Collection

    Build toward a degree

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Telecommunications, Algorithms, Linear Algebra

    4.5
    Rating, 4.5 out of 5 stars
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    648 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Estimation, Probability & Statistics, Geometry, Mathematical Modeling, Graphing

    4.7
    Rating, 4.7 out of 5 stars
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    55 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Georgia Institute of Technology

    Games without Chance: Combinatorial Game Theory

    Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics

    4.3
    Rating, 4.3 out of 5 stars
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    211 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability & Statistics, Probability, Design Strategies, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    Tecnológico de Monterrey

    1.- El Cálculo - Modelo Lineal

    Skills you'll gain: Arithmetic, Mathematics Education, Mathematical Modeling, Digital pedagogy, General Mathematics, Calculus, Applied Mathematics, Mathematical Software, Algebra, Graphing

    4.8
    Rating, 4.8 out of 5 stars
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    1K reviews

    Mixed · 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), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Precalculus Review

    Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, General Mathematics, Mathematical Software, Applied Mathematics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
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    122 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique

    Initiation à la théorie des distributions

    Skills you'll gain: Differential Equations, Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Applied Mathematics, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    25 reviews

    Mixed · Course · 1 - 3 Months

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

  • Matrix Methods: University of Minnesota
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • Machine Learning for All: University of London
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Games without Chance: Combinatorial Game Theory: Georgia Institute of Technology
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
  • 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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