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 TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Computational Thinking, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms
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: FreeThe Chinese University of Hong Kong
Skills you'll gain: Model Optimization, Debugging, Mathematical Modeling, Operations Research, Model Evaluation, Applied Mathematics, Combinatorics, Computational Logic, Code Reusability, Algorithms
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Simulations, Probability Distribution, Statistical Methods, Probability & Statistics, Sampling (Statistics), Interactive Data Visualization, Correlation Analysis, Mathematical Theory & Analysis, Applied Mathematics, Integral Calculus
Status: Free TrialDeepLearning.AI
Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives
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 TrialUniversity of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Statistical Methods, Descriptive Statistics, Statistical Analysis, General Mathematics, Algebra
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Communication Systems, Telecommunications, Algorithms, Linear Algebra, Jupyter
Status: PreviewUniversity of Minnesota
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
In summary, here are 10 of our most popular discrete mathematics courses
- Linear Algebra for Machine Learning and Data Science:Â DeepLearning.AI
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University
- Matrix Algebra for Engineers:Â The Hong Kong University of Science and Technology
- Numerical Methods for Engineers:Â The Hong Kong University of Science and Technology
- Mathematical Biostatistics Boot Camp 1:Â Johns Hopkins University
- Advanced Modeling for Discrete Optimization:Â The Chinese University of Hong Kong
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Calculus for Machine Learning and Data Science:Â DeepLearning.AI
- Calculus through Data & Modeling: Precalculus Review:Â Johns Hopkins University
- Statistics for Data Science Essentials:Â University of Pennsylvania
