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

Korea Advanced Institute of Science and Technology(KAIST)
Math for AI beginner part 1 Linear Algebra
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning
4.5
Rating, 4.5 out of 5 stars
30 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
Macquarie University
Habilidades de Excel Aplicadas a Negocios: Nivel Avanzado
Skills you'll gain: Dashboard, Spreadsheet Software, Data Cleansing, Excel Formulas, Data Visualization, Microsoft Excel, Data Analysis Expressions (DAX), Business Mathematics, Data Validation, Business Metrics, Financial Data, Financial Analysis, Data Management, Automation
4.6
Rating, 4.6 out of 5 stars
26 reviews
Intermediate · Course · 1 - 3 Months
Peking University
电磁学上——恒定电场
Skills you'll gain: Basic Electrical Systems, Physics, Electrical Engineering, Physical Science, Calculus, Systems Of Measurement, Applied Mathematics
4.9
Rating, 4.9 out of 5 stars
40 reviews
Mixed · Course · 1 - 3 Months
EIT Digital
Automated Reasoning: satisfiability
Skills you'll gain: Computational Logic, Deductive Reasoning, Combinatorics, Logical Reasoning, Computational Thinking, Mathematical Modeling, Operations Research, Theoretical Computer Science, Applied Mathematics, Algorithms, Linear Algebra, Verification And Validation
4.8
Rating, 4.8 out of 5 stars
44 reviews
Intermediate · Course · 1 - 4 Weeks
University of Arizona
Knowing the Universe: History and Philosophy of Astronomy
Skills you'll gain: Ancient History, Physics, General Science and Research, Mechanics, Physical Science, European History, Science and Research, World History, Scientific Methods, Biology, Mathematical Modeling
4.6
Rating, 4.6 out of 5 stars
37 reviews
Beginner · Course · 1 - 3 Months
Nanyang Technological University, Singapore
Introduction to Complexity Science
Skills you'll gain: Systems Thinking, Network Analysis, Mathematical Modeling, Simulations, Social Sciences, Applied Mathematics, Policy Analysis, Forecasting, Trend Analysis, Jupyter
4.6
Rating, 4.6 out of 5 stars
30 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Statistical Methods for Computer Science
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado Boulder
Clase Entera con PhET para la Educación STEM
Skills you'll gain: Mathematics Education, Simulations, Simulation and Simulation Software, Experimentation, Scientific Visualization
4.9
Rating, 4.9 out of 5 stars
110 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Managing, Describing, and Analyzing Data
Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Introduction to Computer Vision
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Calculus through Data & Modeling: Applying Differentiation
Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Cost Estimation, Mathematical Modeling, Operations Research, Derivatives, Algebra
4.7
Rating, 4.7 out of 5 stars
54 reviews
Intermediate · Course · 1 - 3 Months