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

École Polytechnique
Aléatoire : une introduction aux probabilités - Partie 1
Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Analysis
4.5
Rating, 4.5 out of 5 stars
104 reviews
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Calculus through Data & Modeling: Precalculus Review
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Advanced Mathematics, Applied Mathematics, Geometry
4.8
Rating, 4.8 out of 5 stars
110 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model
4.8
Rating, 4.8 out of 5 stars
53 reviews
Mixed · Course · 1 - 3 Months
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
822 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Calculus through Data & Modelling: Techniques of Integration
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Graphing
4.7
Rating, 4.7 out of 5 stars
35 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
École Polytechnique Fédérale de Lausanne
Analyse numérique pour ingénieurs
Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Finite Element Methods, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Estimation, Algorithms, Derivatives
4.5
Rating, 4.5 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
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
Johns Hopkins University
Calculus through Data & Modelling: Integration Applications
Skills you'll gain: Integral Calculus, Calculus, Geometry, Applied Mathematics, Mechanics, Mathematical Modeling, Advanced Mathematics, Graphing, Physics
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
70K reviews
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
VLSI CAD Part II: Layout
Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Systems Design, Computer Architecture, Electrical and Computer Engineering, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Linear Algebra, Applied Mathematics, Calculus
4.7
Rating, 4.7 out of 5 stars
281 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Hebrew University of Jerusalem
Invitation to Mathematics הזמנה למתמטיקה
Skills you'll gain: Calculus, Advanced Mathematics, Integral Calculus, Trigonometry, Mathematical Theory & Analysis, Geometry, Algebra, Applied Mathematics, Derivatives
4.4
Rating, 4.4 out of 5 stars
71 reviews
Mixed · Course · 1 - 3 Months

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

Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
Calculus through Data & Modeling: Precalculus Review: Johns Hopkins University
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
Calculus for Machine Learning and Data Science: DeepLearning.AI
Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne
Programming for Everybody (Getting Started with Python): University of Michigan
Excel to MySQL: Analytic Techniques for Business: Duke University
Calculus through Data & Modelling: Integration Applications: Johns Hopkins University
Data Science Fundamentals with Python and SQL: IBM

Discrete Mathematics Courses Online