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

The Hong Kong University of Science and Technology
Understanding Modern Physics III: Simplicity and Complexity
Skills you'll gain: Physics, Advanced Mathematics, Simulations, Engineering Calculations, Mechanics, Mathematical Modeling, Calculus, Differential Equations, Physical Science, Information Architecture
4.8
Rating, 4.8 out of 5 stars
32 reviews
Beginner · Course · 1 - 4 Weeks
Politecnico di Milano
Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna
Skills you'll gain: Physics, Laboratory Experience, Electrical Systems, Experimentation, Basic Electrical Systems, Scientific Methods, Science and Research, Physical Science, Mechanics, Electronics Engineering, Mathematical Modeling, Applied Mathematics, Integral Calculus
4.7
Rating, 4.7 out of 5 stars
35 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Using probability distributions for real world problems in R
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
4.8
Rating, 4.8 out of 5 stars
29 reviews
Beginner · Guided Project · Less Than 2 Hours
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
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
Status: Free Trial
Howard University
Introduction to Linear Algebra and Python
Skills you'll gain: Linear Algebra, Applied Mathematics, NumPy, Mathematical Software, Data Visualization Software, Jupyter, Mathematical Modeling, Data Science, Python Programming, Data Analysis, Git (Version Control System)
4.3
Rating, 4.3 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
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 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
Status: Free Trial
L&T EduTech
Design of Transmission Line: Modelling and Performance
Skills you'll gain: Applied Mathematics, Mathematical Modeling, Matlab, High Voltage, Three-Phase, Electrical Engineering, Simulation and Simulation Software, Electric Power Systems, Engineering Calculations, Electrical Power, Environmental Science, Environmental Engineering
4.6
Rating, 4.6 out of 5 stars
28 reviews
Intermediate · Course · 1 - 4 Weeks
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
Status: Free Trial
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 2
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution
5
Rating, 5 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
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

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

Understanding Modern Physics III: Simplicity and Complexity: The Hong Kong University of Science and Technology
Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna: Politecnico di Milano
Using probability distributions for real world problems in R: Coursera Project Network
Geometría Analítica Preuniversitaria: Universidad Autónoma Metropolitana
Thermodynamique : applications: École Polytechnique Fédérale de Lausanne
Introduction to Linear Algebra and Python: Howard University
Approximation Methods: University of Colorado Boulder
Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
Design of Transmission Line: Modelling and Performance: L&T EduTech
Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University

Discrete Mathematics Courses Online