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
The University of Edinburgh
The Discovery of the Higgs Boson
Skills you'll gain: Physics, Mechanics, Scientific Methods, Advanced Mathematics, Mathematical Modeling, Simulation and Simulation Software, Research, Scientific Visualization
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 3 Months
Korea Advanced Institute of Science and Technology(KAIST)
Electrodynamics: Electric and Magnetic Fields
Skills you'll gain: Electrical Engineering, Physics, Electrical Systems, Applied Mathematics, Electronic Systems, Mechanics, Energy and Utilities, Engineering Analysis, Differential Equations, Mathematical Modeling, Calculus
4.8
Rating, 4.8 out of 5 stars
230 reviews
Advanced · Course · 1 - 3 Months
Status: Free
École normale supérieure
Approximation Algorithms Part I
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability
4.7
Rating, 4.7 out of 5 stars
554 reviews
Mixed · Course · 1 - 3 Months
Status: AI skills
University of Pennsylvania
AI and Machine Learning Essentials with Python
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms, Computer Vision, Theoretical Computer Science
4.5
Rating, 4.5 out of 5 stars
20 reviews
Intermediate · Specialization · 3 - 6 Months
University of Colorado Boulder
Data Mining Foundations and Practice
Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Science, Data Modeling, Big Data, Supervised Learning, Machine Learning Methods, Data Cleansing, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Data Processing, Anomaly Detection, Data Transformation, Machine Learning Algorithms, Data Presentation, Analytical Skills
Build toward a degree
4
Rating, 4 out of 5 stars
132 reviews
Intermediate · Specialization · 1 - 3 Months
Macquarie University
Excel Regression Models for Business Forecasting
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software
4.9
Rating, 4.9 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
ISAE-SUPAERO
Flight Mechanics - Anemobarometry
Skills you'll gain: Physical Science, Applied Mathematics, Systems Of Measurement, Engineering Calculations, Mathematical Modeling, Mechanics, Physics, Engineering Analysis
4.6
Rating, 4.6 out of 5 stars
58 reviews
Intermediate · Course · 1 - 4 Weeks
Tsinghua University
Data Structures and Algorithms (II)
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Computer Programming
Intermediate · Course · 1 - 3 Months
Politecnico di Milano
FPGA computing systems: Background knowledge and introductory materials
Skills you'll gain: Application Specific Integrated Circuits, Systems Design, Computer Architecture, System Design and Implementation, Hardware Architecture, Cloud Infrastructure, Distributed Computing, Computer Hardware, Embedded Systems
4.6
Rating, 4.6 out of 5 stars
245 reviews
Beginner · Course · 1 - 3 Months
Illinois Tech
Linear Regression
Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
22 reviews
Intermediate · Course · 1 - 4 Weeks
Korea Advanced Institute of Science and Technology(KAIST)
Differential Equations Part II Series Solutions
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Calculus, Linear Algebra, Engineering Analysis, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 3 Months
Status: Free
École normale supérieure
Statistical Mechanics: Algorithms and Computations
Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus
4.8
Rating, 4.8 out of 5 stars
264 reviews
Mixed · Course · 1 - 3 Months

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

The Discovery of the Higgs Boson: The University of Edinburgh
Electrodynamics: Electric and Magnetic Fields: Korea Advanced Institute of Science and Technology(KAIST)
Approximation Algorithms Part I: École normale supérieure
AI and Machine Learning Essentials with Python: University of Pennsylvania
Data Mining Foundations and Practice: University of Colorado Boulder
Excel Regression Models for Business Forecasting: Macquarie University
Flight Mechanics - Anemobarometry: ISAE-SUPAERO
Data Structures and Algorithms (II): Tsinghua University
FPGA computing systems: Background knowledge and introductory materials: Politecnico di Milano
Linear Regression: Illinois Tech

Discrete Mathematics Courses Online