What is discrete mathematics?

Discrete mathematics refers to a group of mathematics branches that deal with discrete objects instead of continuous objects. In discrete mathematics, objects have distinct, separate values represented by integers, unlike real numbers used in continuous mathematics. Discrete mathematics includes combinatorics, set theory, graph theory, number theory, and probability. It is integral to computer science and plays a role in the field of data science.

Why learn discrete mathematics?

You may consider learning discrete mathematics if you want to study computer science or work in a data science field. Discrete mathematics is a foundation of computer science, and programmers often use principles of set theory, probability, and combinations to analyze algorithms when writing programs and applications. Learning discrete mathematics can also help boost other useful skills like logic, reasoning, and problem-solving, making you a more marketable job candidate.

What are typical careers that use discrete mathematics?

Typical careers that use discrete mathematics are in the computer science field, such as software development, programming, and cryptography. Data scientists and data analysts may use their knowledge of discrete mathematics in their work. Other careers that can incorporate discrete mathematics include electrical and mechanical engineers in addition to data analysts, business analysts, and market researchers. Discrete mathematics also influences the work of urban planners, epidemiologists, and social scientists who collect and analyze large amounts of data.

How can online courses help me learn discrete mathematics?

Online courses can introduce you to core concepts of discrete mathematics, such as sets, relations, and functions. Lessons include topics like partial orders, enumerative combinatorics, and the binomial coefficient, and you have opportunities to apply the concepts to real-world applications. You may choose courses that cover specific subjects like graph theory or probability to increase your knowledge of these disciplines. Alternatively, you may decide to take courses that explore the application of discrete mathematics in specific fields like data science, computer science, or machine learning.

What are the benefits of taking an online Discrete Mathematics course?

Online Discrete Mathematics courses offer a convenient and flexible way to enhance your knowledge or learn new Discrete Mathematics skills. Choose from a wide range of Discrete Mathematics courses offered by top universities and industry leaders tailored to various skill levels.

What Discrete Mathematics courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Discrete Math, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Discrete Mathematics Courses - Learn Discrete Mathematics Online

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Explore the Discrete Mathematics Course Catalog

Status: Free
École Polytechnique Fédérale de Lausanne
Thermodynamique : applications
Skills you'll gain: Chemical Engineering, Mechanical Engineering, Thermal Management, Engineering, Chemical and Biomedical Engineering, Physics, Energy and Utilities, Electrical Power, Process Engineering, Differential Equations, Applied Mathematics, Engineering Analysis, Calculus, Engineering Calculations, Mathematical Modeling
4.5
Rating, 4.5 out of 5 stars
11 reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Approximation Methods
Skills you'll gain: Estimation, Engineering Calculations, Applied Mathematics, Mathematical Modeling, Engineering Analysis, Differential Equations, Physics
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
11 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Autónoma Metropolitana
Geometría Analítica Preuniversitaria
Skills you'll gain: Graphing, Geometry, Trigonometry, Algebra, Mathematical Modeling, Applied Mathematics
4.2
Rating, 4.2 out of 5 stars
15 reviews
Intermediate · Course · 1 - 3 Months
University of London
Statistics and Clustering in Python
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
4.4
Rating, 4.4 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks
Rice University
Physics of Light and Materials
Skills you'll gain: Physics, Mechanics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Differential Equations, Applied Mathematics, Integral Calculus
4.9
Rating, 4.9 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Koç University
Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications
Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Advanced Mathematics, Applied Mathematics, Engineering Analysis, Linear Algebra, Mathematical Theory & Analysis, Physics, Derivatives
4.4
Rating, 4.4 out of 5 stars
14 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
What are the Chances? Probability and Uncertainty in Statistics
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
4.6
Rating, 4.6 out of 5 stars
17 reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Nacional Autónoma de México
Estadística y probabilidad: principios de Inferencia
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics
2.9
Rating, 2.9 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Statistical Learning for Data Science
Skills you'll gain: Statistical Modeling, Applied Machine Learning, Statistical Machine Learning, Regression Analysis, Statistical Methods, Data Science, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Supervised Learning, R Programming, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probability & Statistics, Advanced Analytics, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Build toward a degree
4
Rating, 4 out of 5 stars
17 reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Aprendiendo Python con textos, números y ecuaciones
Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Computer Programming, Scripting, Mathematical Modeling, Linear Algebra, Applied Mathematics, Scripting Languages
4.8
Rating, 4.8 out of 5 stars
36 reviews
Beginner · Guided Project · Less Than 2 Hours
ISAE-SUPAERO
Foundation of Structural Dynamics
Skills you'll gain: Structural Engineering, Mechanics, Engineering Analysis, Vibrations, Mathematical Modeling, Simulation and Simulation Software, Control Systems, Physics
4.1
Rating, 4.1 out of 5 stars
22 reviews
Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular discrete mathematics courses

Thermodynamique : applications: École Polytechnique Fédérale de Lausanne
Approximation Methods: University of Colorado Boulder
Geometría Analítica Preuniversitaria: Universidad Autónoma Metropolitana
Statistics and Clustering in Python: University of London
Physics of Light and Materials: Rice University
Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University
Computational and Graphical Models in Probability: Johns Hopkins University
What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
Statistical Learning for Data Science: University of Colorado Boulder

Discrete Mathematics Courses Online