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 TrialSkills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming
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, Statistical Software, Probability & Statistics, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Graphical Tools, Mathematical Software, Applied Mathematics, Geometry
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Simulations, Data Visualization, Statistics, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, 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, Mathematical Software, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Simulation and Simulation Software, Differential Equations, Calculus
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 TrialImperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Status: PreviewTecnológico de Monterrey
Skills you'll gain: Arithmetic, Mathematical Modeling, Digital pedagogy, Calculus, Applied Mathematics, Mathematical Theory & Analysis, Algebra, Graphing
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 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
In summary, here are 10 of our most popular discrete mathematics courses
- Data Science Fundamentals with Python and SQL:Â IBM
- Data Analysis with R:Â Duke University
- Calculus through Data & Modeling: Precalculus Review:Â Johns Hopkins University
- Dynamic Programming, Greedy Algorithms:Â University of Colorado Boulder
- Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
- Number Theory and Cryptography:Â University of California San Diego
- Mathematics for Engineers: The Capstone Course:Â The Hong Kong University of Science and Technology
- Mathematical Biostatistics Boot Camp 1:Â Johns Hopkins University
- Mathematics for Machine Learning: PCA:Â Imperial College London
- 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
