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
Coursera Project Network
Building Students Math Skills with iKnowit
Skills you'll gain: Mathematics Education, Education Software and Technology, User Accounts
4.8
Rating, 4.8 out of 5 stars
41 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Colorado Boulder
Ethical Issues in Data Science
Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
42 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Fundamentals of Scientific Research Under Uncertainty
Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making
4.9
Rating, 4.9 out of 5 stars
34 reviews
Beginner · Course · 1 - 3 Months
Korea Advanced Institute of Science and Technology(KAIST)
Particle Dynamics
Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Physics, Engineering Calculations, Differential Equations, Integral Calculus, Calculus, Mathematical Modeling, Applied Mathematics
4.6
Rating, 4.6 out of 5 stars
33 reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of London
Statistics and Clustering in Python
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
4.4
Rating, 4.4 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks
Korea Advanced Institute of Science and Technology(KAIST)
Rigid Body Dynamics
Skills you'll gain: Mechanics, Mechanical Engineering, Torque (Physics), Vibrations, Engineering Analysis, Engineering Calculations, Physics, Applied Mathematics, Calculus
4.6
Rating, 4.6 out of 5 stars
26 reviews
Intermediate · Course · 3 - 6 Months
Status: Free Trial
Rice University
Physics 102 - Magnetic Fields and Faraday's Law
Skills you'll gain: Torque (Physics), Physics, Electrical Engineering, Basic Electrical Systems, Applied Mathematics, Engineering Calculations, Mechanics, Calculus, Engineering Analysis, Trigonometry
4.8
Rating, 4.8 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
Universiteit Leiden
Population Health: Predictive Analytics
Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation
4.6
Rating, 4.6 out of 5 stars
24 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Dartmouth College
Question Reality! Science, philosophy, a search for meaning
Skills you'll gain: Scientific Methods, Theoretical Computer Science, Logical Reasoning, General Science and Research, Physics, Physical Science, Artificial Intelligence, Computational Thinking, Mathematics and Mathematical Modeling, Experimentation, Simulations, Computer Science, Psychology, Science and Research, Ancient History, Vibrations, Mechanics, Chemistry, Research, World History
4.8
Rating, 4.8 out of 5 stars
32 reviews
Beginner · Specialization · 1 - 3 Months
Johns Hopkins University
Introduction to Uncertainty Quantification
Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis
Intermediate · Course · 1 - 4 Weeks
Packt
The STATA OMNIBUS: Regression and Modelling with STATA
Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics
Beginner · Course · 3 - 6 Months