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: Debugging, Mathematical Modeling, Advanced Mathematics, Operations Research, Computational Logic, Data Structures
Status: PreviewDuke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
University of North Texas
Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement
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: 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: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization
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: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Derivatives
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Analysis, Artificial Intelligence, Data Collection
Status: PreviewStanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution
Status: Free TrialUniversity of Michigan
Skills you'll gain: Debugging, Programming Principles, Computer Programming, Python Programming, Integrated Development Environments, Computer Programming Tools, Computational Thinking, Software Installation
In summary, here are 10 of our most popular discrete mathematics courses
- Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
- Data Science Math Skills: Duke University
- Math Prep: College & Work Ready: University of North Texas
- Introduction to Calculus: The University of Sydney
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
- Probability Foundations for Data Science and AI: University of Colorado Boulder
