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 Colorado Boulder
Probability Theory: Foundation for Data Science
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Descriptive Statistics, Statistical Inference, Correlation Analysis
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
253 reviews
Intermediate · Course · 1 - 3 Months
Erasmus University Rotterdam
Econometrics: Methods and Applications
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Predictive Analytics, Probability, Linear Algebra, Peer Review
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Linear Algebra
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Jupyter, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
4.7
Rating, 4.7 out of 5 stars
12K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
The Hong Kong University of Science and Technology
Differential Equations for Engineers
Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives
4.9
Rating, 4.9 out of 5 stars
2.2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of London
Introduction to Computer Science and Programming
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Javascript, Computer Networking, Computational Thinking, Theoretical Computer Science, Human Computer Interaction, Program Development, Hardware Architecture, Computer Graphics, Operating Systems, Cybersecurity, Computer Programming, Problem Management, General Mathematics, Applied Mathematics
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Calculus for Machine Learning and Data Science
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives
4.8
Rating, 4.8 out of 5 stars
855 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Foundational Finance for Strategic Decision Making
Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Modeling, Financial Management, Business Mathematics, Financial Planning, Cash Flows
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Beginner · Course · 1 - 3 Months
University of Amsterdam
Logic for Economists
Skills you'll gain: Computational Logic, Logical Reasoning, Mathematics and Mathematical Modeling, Deductive Reasoning, General Mathematics
4.4
Rating, 4.4 out of 5 stars
293 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: Multivariate Calculus
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
4.7
Rating, 4.7 out of 5 stars
5.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
The Hong Kong University of Science and Technology
Numerical Methods for Engineers
Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms
4.9
Rating, 4.9 out of 5 stars
384 reviews
Intermediate · Course · 1 - 3 Months
National Taiwan University
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
Skills you'll gain: Supervised Learning, Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms
4.9
Rating, 4.9 out of 5 stars
932 reviews
Beginner · Course · 1 - 3 Months