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

Rice University
Physics 101 - Forces and Kinematics
Skills you'll gain: Mechanics, Physics, Engineering Calculations, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Trigonometry
4.7
Rating, 4.7 out of 5 stars
175 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Calculus through Data & Modelling: Integration Applications
Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Mathematical Modeling, Physics
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Introduction to High-Performance and Parallel Computing
Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Job Control Language (JCL), Command-Line Interface, Performance Tuning, Computer Architecture
Build toward a degree
3.6
Rating, 3.6 out of 5 stars
137 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Everyday Excel, Part 2
Skills you'll gain: Regression Analysis, Depreciation, Microsoft Excel, Statistical Modeling, Excel Formulas, Financial Analysis, Cash Flows, Predictive Modeling, Data Management, Financial Modeling, Business Mathematics, Financial Forecasting, Process Optimization, Data Analysis, Complex Problem Solving
4.7
Rating, 4.7 out of 5 stars
560 reviews
Intermediate · Course · 1 - 3 Months
University of Maryland, College Park
Framework for Data Collection and Analysis
Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods
4.2
Rating, 4.2 out of 5 stars
763 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Georgia Institute of Technology
Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion
Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus
4.8
Rating, 4.8 out of 5 stars
310 reviews
Mixed · Course · 1 - 3 Months
Fractal Analytics
Quantum Computing For Everyone - An Introduction
Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Linear Algebra, Emerging Technologies, Cryptography, Physics, Applied Mathematics
4
Rating, 4 out of 5 stars
63 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
The Hong Kong University of Science and Technology
Understanding Modern Physics I: Relativity and Cosmology
Skills you'll gain: Physics, Calculus, Mechanics, Physical Science, Advanced Mathematics, Energy and Utilities, Mathematical Modeling
4.6
Rating, 4.6 out of 5 stars
154 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Eindhoven University of Technology
Microwave engineering and antennas
Skills you'll gain: Electronics Engineering, Telecommunications, Electrical Engineering, Electronic Systems, Wireless Networks, Engineering Design Process, Simulation and Simulation Software, Engineering Analysis, Computer-Aided Design, Physics, Applied Mathematics
4.6
Rating, 4.6 out of 5 stars
140 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Statistical Thermodynamics
Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Simulation and Simulation Software, Simulations, Physical Science, Estimation
4.5
Rating, 4.5 out of 5 stars
1K reviews
Advanced · Specialization · 3 - 6 Months
University of Michigan
Fitting Statistical Models to Data with Python
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution
4.4
Rating, 4.4 out of 5 stars
699 reviews
Intermediate · Course · 1 - 4 Weeks
McMaster University
Finance for Everyone: Decisions
Skills you'll gain: Finance, Financial Market, Peer Review, Project Design, Business Mathematics, Market Dynamics, Financial Analysis, Financial Planning, Economics, Return On Investment, Cash Flows, Decision Making
4.7
Rating, 4.7 out of 5 stars
865 reviews
Mixed · Course · 1 - 4 Weeks

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

Physics 101 - Forces and Kinematics : Rice University
Calculus through Data & Modelling: Integration Applications: Johns Hopkins University
Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
Everyday Excel, Part 2: University of Colorado Boulder
Framework for Data Collection and Analysis: University of Maryland, College Park
Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
Quantum Computing For Everyone - An Introduction : Fractal Analytics
Understanding Modern Physics I: Relativity and Cosmology: The Hong Kong University of Science and Technology
Microwave engineering and antennas: Eindhoven University of Technology
Statistical Thermodynamics: University of Colorado Boulder

Discrete Mathematics Courses Online