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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
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Series and Integration

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    57 reviews

    Intermediate · 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
    ·
    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Numerical Analysis, Engineering Calculations, Matlab, Mathematical Software, Differential Equations, Linear Algebra, Mathematical Modeling, Applied Mathematics, Estimation, Integral Calculus, Scripting, Computer Programming, Programming Principles, Algorithms, Plot (Graphics), Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    411 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Statistics, Descriptive Statistics, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Inference, Exploratory Data Analysis, Statistical Hypothesis Testing, Probability, Regression Analysis, Data Collection, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Transformation, Data Manipulation, Algebra, Advanced Mathematics, Jupyter, Applied Mathematics, Python Programming, Machine Learning, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Number Theory and Cryptography

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    608 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    离散优化建模基础篇 Basic Modeling for Discrete Optimization

    Skills you'll gain: Applied Mathematics, Operations Research, Mathematical Modeling, Enterprise Modeling, Network Model, Statistical Modeling, Combinatorics, Functional Design, Mathematical Software, Computational Thinking, Graph Theory, Algorithms, Data Structures, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Intermediate · 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, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    638 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Quantitative Aptitude Mastery— Exam & Recruitment Prep

    Skills you'll gain: Arithmetic, Logical Reasoning, Quantitative Research, Estimation, Applied Mathematics, Advanced Mathematics, Algebra, Complex Problem Solving, General Mathematics

    Beginner · Course · 1 - 4 Weeks

  • 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, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    334 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    638 reviews

    Beginner · Course · 1 - 3 Months

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

  • Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
  • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Introduction to Statistics: Stanford University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Number Theory and Cryptography: University of California San Diego
  • 离散优化建模基础篇 Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Quantitative Aptitude Mastery— Exam & Recruitment Prep: Board Infinity
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford 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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