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: FreeThe Chinese University of Hong Kong
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
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
Status: PreviewUniversity of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Status: PreviewUniversity of Pennsylvania
Skills you'll gain: Research, Vocabulary, Climate Change Adaptation, Literacy, English Language, Environment, Sustainable Technologies, Environmental Science, Grammar, Emerging Technologies
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Applied Mathematics, Trigonometry
Status: PreviewUniversity of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance
Status: Free TrialImperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: Free TrialSkills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software
Status: PreviewThe University of Sydney
Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation
Status: PreviewNational Taiwan University
Skills you'll gain: Probability, Probability Distribution, Statistics, Data Literacy, Logical Reasoning, Critical Thinking, Learning Strategies
In summary, here are 10 of our most popular discrete mathematics courses
- 离散优化建模基础篇 Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
- Games without Chance: Combinatorial Game Theory : Georgia Institute of Technology
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Matrix Methods: University of Minnesota
- English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
- Introduction to Engineering Mechanics: Georgia Institute of Technology
- An Intuitive Introduction to Probability: University of Zurich
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
- Process Data from Dirty to Clean: Google
