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 TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Status: PreviewDuke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
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 TrialJohns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Derivatives
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: Free TrialDuke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data 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 TrialUniversity of Michigan
Skills you'll gain: Debugging, Programming Principles, Computer Programming, Python Programming, Integrated Development Environments, Computer Programming Tools, Computational Thinking, Software Installation
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability
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: Integral Calculus, Calculus, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics
Status: PreviewStanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution
In summary, here are 10 of our most popular discrete mathematics courses
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London
- Data Science Math Skills:Â Duke University
- Introduction to Calculus:Â The University of Sydney
- Calculus through Data & Modelling: Series and Integration:Â Johns Hopkins University
- Probability & Statistics for Machine Learning & Data Science:Â DeepLearning.AI
- Data Analysis with R:Â Duke University
- English for Science, Technology, Engineering, and Mathematics:Â University of Pennsylvania
- Programming for Everybody (Getting Started with Python):Â University of Michigan
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms:Â Stanford University
- Linear Algebra: Linear Systems and Matrix Equations:Â Johns Hopkins University
