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: PreviewÉcole Polytechnique
Skills you'll gain: Differential Equations, Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Applied Mathematics, Derivatives
Status: PreviewHebrew University of Jerusalem
Skills you'll gain: Calculus, Advanced Mathematics, Integral Calculus, General Mathematics, Trigonometry, Mathematical Theory & Analysis, Algebra, Geometry, Applied Mathematics, Graphing, Logical Reasoning, Deductive Reasoning, Derivatives
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Simulations, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Statistical Inference, Calculus, Integral Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Data Analysis, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing, R Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Layout Design, Graphical Tools, Graphics Software, Creative Design, Typography, Design Software, Design Reviews, Adobe Creative Cloud, Adobe Photoshop, Design Elements And Principles, Design Strategies, Color Theory, Editing
28DIGITAL
Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis
Status: PreviewNational Taiwan University
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistical Methods, Statistics, Logical Reasoning
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, General Mathematics, Mathematical Software, Applied Mathematics, Geometry
Status: Free TrialJohns Hopkins University
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Estimation, Probability & Statistics, Geometry, Mathematical Modeling, Graphing
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
Status: Free TrialTsinghua University
Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Data Storage
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Applied Mathematics, Algebra, Mathematical Modeling, Mathematics Education, Graphing, Calculus, Model Optimization, Mathematical Theory & Analysis, Integral Calculus, Graphical Tools, Derivatives
In summary, here are 10 of our most popular discrete mathematics courses
- Initiation à la théorie des distributions: École Polytechnique
- Invitation to Mathematics הזמנה למתמטיקה: Hebrew University of Jerusalem
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
- Graphic Design: University of Colorado Boulder
- Geometric Algorithms: 28DIGITAL
- 頑想學概率：機率一 (Probability (1)): National Taiwan University
- Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
- Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
- Essential Linear Algebra for Data Science: University of Colorado Boulder
