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

Duke University
Excel to MySQL: Analytic Techniques for Business
Skills you'll gain: Data Storytelling, Database Design, Dashboard, MySQL, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Data Visualization, Business Process Improvement, Business Intelligence, Financial Modeling, Interactive Data Visualization, Microsoft Excel, Excel Formulas, Business Process, Probability Distribution, Business Risk Management
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
Expressway to Data Science: Essential Math
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Probability & Statistics, Derivatives, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
427 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
The University of Melbourne
Advanced Modeling for Discrete Optimization
Skills you'll gain: Debugging, Mathematical Modeling, Operations Research, Combinatorics, Graph Theory, Algorithms, Data Structures
4.9
Rating, 4.9 out of 5 stars
138 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
4.4
Rating, 4.4 out of 5 stars
167 reviews
Intermediate · Course · 1 - 3 Months
University of London
Introduction to Computer Science and Programming
Skills you'll gain: Computer Science, Computer Systems, Development Environment, Web Applications, Debugging, Graphing, Program Development, Computer Networking, Computational Thinking, Usability, Arithmetic, Applied Mathematics, Mathematical Modeling, Cybersecurity, Visualization (Computer Graphics), Computer Programming, Computer Graphics, Color Theory, Numerical Analysis, Software Development
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Number Theory and Cryptography
Skills you'll gain: Cryptographic Protocols, Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Algorithms, Theoretical Computer Science, Computational Thinking, Python Programming, Logical Reasoning
4.5
Rating, 4.5 out of 5 stars
604 reviews
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Statistics for Data Science Essentials
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
4.7
Rating, 4.7 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Integral Calculus and Numerical Analysis for Data Science
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Applied Mathematics, Linear Algebra, Probability & Statistics, Derivatives
4.6
Rating, 4.6 out of 5 stars
95 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Algebra and Differential Calculus for Data Science
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Mathematical Theory & Analysis
4.6
Rating, 4.6 out of 5 stars
240 reviews
Intermediate · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Mathematics for Engineers: The Capstone Course
Skills you'll gain: Matlab, Engineering Analysis, Finite Element Methods, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Civil Engineering, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, Simulation and Simulation Software, Computational Thinking, Differential Equations, Scientific Visualization
4.9
Rating, 4.9 out of 5 stars
30 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
ISAE-SUPAERO
Developments of structural dynamics
Skills you'll gain: Finite Element Methods, Structural Engineering, Vibrations, Engineering Analysis, Mathematical Modeling, Mechanical Engineering, Linear Algebra, Mechanics, Numerical Analysis, Applied Mathematics, Differential Equations, Physics
4.2
Rating, 4.2 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
EIT Digital
Approximation Algorithms
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Design Strategies, Linear Algebra
4.7
Rating, 4.7 out of 5 stars
33 reviews
Intermediate · Course · 1 - 4 Weeks

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

Excel to MySQL: Analytic Techniques for Business: Duke University
Expressway to Data Science: Essential Math: University of Colorado Boulder
Advanced Modeling for Discrete Optimization: The University of Melbourne
Essential Linear Algebra for Data Science: University of Colorado Boulder
Introduction to Computer Science and Programming: University of London
Number Theory and Cryptography: University of California San Diego
Statistics for Data Science Essentials: University of Pennsylvania
Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
Algebra and Differential Calculus for Data Science: University of Colorado Boulder
Mathematics for Engineers: The Capstone Course: The Hong Kong University of Science and Technology

Discrete Mathematics Courses Online