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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


  • É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 2

    Skills you'll gain: Probability, Simulations, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Statistical Inference, Calculus, Integral Calculus

    ★ 4.6 (40) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

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

    ★ 4.5 (105) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Mathematics and Mathematical Modeling, Data Analysis, Data Modeling, Statistical Methods, Algebra, Numerical Analysis

    ★ 4.5 (189) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    ★ 4.6 (265) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Number Theory and Cryptography

    Skills you'll gain: Cryptographic Protocols, Cryptography, Key Management, Encryption, Cybersecurity, Arithmetic, Algorithms, Algebra, Python Programming

    ★ 4.5 (609) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

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

    ★ 4.5 (644) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Geometric Algorithms

    Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

    ★ 4.4 (24) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala

    Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Design, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Code Reusability, Computational Logic

    ★ 4.8 (8.3K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (5.9K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering

    Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Engineering Calculations, Materials science, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, General Mathematics, Mathematical Modeling, Derivatives

    ★ 4.9 (7) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers: The Capstone Course

    Skills you'll gain: Matlab, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Differential Equations, Calculus

    ★ 5 (44) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Data Literacy, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Sample Size Determination

    ★ 4.7 (13K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…70

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

  • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
  • Essential Linear Algebra for Data Science: University of Colorado Boulder
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • Number Theory and Cryptography: University of California San Diego
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Geometric Algorithms: 28DIGITAL
  • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
  • Introduction to Probability and Data with R: Duke University
  • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)

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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