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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: Free Trial
    Free Trial
    U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computer Science, Data Structures, Diagram Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    179 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Expressway to Data Science: Essential Math

    Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Applied Mathematics, Data Science, Graphing, General Mathematics, Data Analysis, Statistical Methods, Mathematical Theory & Analysis, Derivatives, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Algorithms, Mathematical Modeling, Traffic Flow Optimization, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • 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
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Statistical Methods, Statistics, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    367 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Data Analysis, Probability Distribution, R (Software), Statistics, Data Science, Database Management, Relational Databases, R Programming, Data Import/Export, Python Programming, NumPy

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    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
    ·
    211 reviews

    Mixed · Course · 1 - 3 Months

  • 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: 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, Engineering Practices, Structural Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Discrete-Time Markov Chains and Monte Carlo Methods

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Mathematical Theory & Analysis

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Problems, Algorithms and Flowcharts: University of London
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Mathematics for Computer Science: University of London
  • Expressway to Data Science: Essential Math: University of Colorado Boulder
  • Introduction to Graph Theory: University of California San Diego
  • Probability Foundations for Data Science and AI: University of Colorado Boulder
  • 頑想學概率:機率一 (Probability (1)): National Taiwan University
  • Data Science Fundamentals with Python and SQL: IBM
  • Games without Chance: Combinatorial Game Theory: Georgia Institute of Technology
  • Matrix Methods: University of Minnesota

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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