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 TrialJohns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Public Key Infrastructure, Public Key Cryptography Standards (PKCS), Key Management, Cryptography, Encryption, Authentications, Algorithms
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: Free TrialJohns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Status: Free TrialJohns Hopkins University
Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computational Thinking, Computer Programming, Programming Principles, Computer Science, Advanced Mathematics, Mathematical Theory & Analysis, Python Programming, Program Development, Analysis, Data Analysis
Status: PreviewUniversity of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
Status: PreviewUniversity of London
Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Cryptographic Protocols, Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Analysis, Finite Element Methods, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Simulation and Simulation Software, Differential Equations, Calculus
In summary, here are 10 of our most popular discrete mathematics courses
- Algebra: Elementary to Advanced - Equations & Inequalities:Â Johns Hopkins University
- Asymmetric Cryptography and Key Management:Â University of Colorado System
- Process Data from Dirty to Clean:Â Google
- Mathematical Biostatistics Boot Camp 1:Â Johns Hopkins University
- Precalculus: Periodic Functions:Â Johns Hopkins University
- Dynamic Programming, Greedy Algorithms:Â University of Colorado Boulder
- An Intuitive Introduction to Probability:Â University of Zurich
- Statistics for Data Science Essentials:Â University of Pennsylvania
- Machine Learning for All:Â University of London
- Mathematics for Machine Learning: Linear Algebra:Â Imperial College London
