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

Explore the Discrete Mathematics Course Catalog

Status: Free Trial
University of Amsterdam
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sampling (Statistics), Probability & Statistics, Regression Analysis, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution, R Programming
4.4
Rating, 4.4 out of 5 stars
599 reviews
Mixed · Course · 1 - 3 Months
Universidad de los Andes
Contenido de las matemáticas de primaria
Skills you'll gain: Mathematics Education, Arithmetic, Geometry, Systems Of Measurement, Graphing, Algebra
4.9
Rating, 4.9 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Equivalent Circuit Cell Model Simulation
Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Power Electronics, Electronic Components, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Applied Mathematics, Data Analysis Software
4.7
Rating, 4.7 out of 5 stars
547 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Princeton University
Analytic Combinatorics
Skills you'll gain: Combinatorics, Mathematical Theory & Analysis, Advanced Mathematics, Graph Theory, Theoretical Computer Science, Calculus, Probability, Computational Thinking, Applied Mathematics
4.7
Rating, 4.7 out of 5 stars
70 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Stocks and Bonds
Skills you'll gain: Market Data, Finance, General Finance, Corporate Finance, Financial Analysis, Financial Market, Investments, Equities, Investment Management, Capital Markets, Business Mathematics, Cash Flows
4.6
Rating, 4.6 out of 5 stars
407 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Algorithms for Searching, Sorting, and Indexing
Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Analysis, Big Data, Probability & Statistics
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
493 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
The Hong Kong University of Science and Technology
Vector Calculus for Engineers
Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Electrical Engineering, Physics, Derivatives
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 3 Months
Georgia Institute of Technology
Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion
Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Structural Engineering, Torque (Physics), Vibrations, Engineering, Physics, Civil Engineering, Calculus, Applied Mathematics, Mathematical Modeling
4.9
Rating, 4.9 out of 5 stars
742 reviews
Mixed · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Analyse numérique pour ingénieurs
Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Algorithms, Derivatives
4.5
Rating, 4.5 out of 5 stars
108 reviews
Intermediate · Course · 1 - 3 Months
The University of Melbourne
Solving Algorithms for Discrete Optimization
Skills you'll gain: Operations Research, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Computational Thinking, Performance Tuning, Linear Algebra
4.7
Rating, 4.7 out of 5 stars
43 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Supervised Machine Learning: Classification
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric
4.8
Rating, 4.8 out of 5 stars
411 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Calculus through Data & Modeling: Precalculus Review
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Mathematical Software, Applied Mathematics, Geometry
4.8
Rating, 4.8 out of 5 stars
112 reviews
Beginner · Course · 1 - 3 Months