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

University of Michigan
Data Collection: Online, Telephone and Face-to-face
Skills you'll gain: Survey Creation, Interviewing Skills, Data Collection, Sampling (Statistics), Research Methodologies, Data Capture, Qualitative Research, Research Design, Data Validation, Data Quality
4.6
Rating, 4.6 out of 5 stars
344 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Korea Advanced Institute of Science and Technology(KAIST)
Chemical Engineering Thermodynamics 1
Skills you'll gain: Engineering, Process Engineering, Thermal Management, Environmental Issue, Engineering Practices, Engineering Calculations, Engineering Analysis, Physics, Physical Science, Mechanics, Environment, Applied Mathematics, Mathematical Modeling, Calculus
4.6
Rating, 4.6 out of 5 stars
54 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Stability and Capability in Quality Improvement
Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, R Programming, Quality Control, Data Analysis, Probability & Statistics, Statistics, Data Transformation, Probability Distribution
Build toward a degree
4
Rating, 4 out of 5 stars
15 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Quantum Mechanics for Engineers
Skills you'll gain: Estimation, Numerical Analysis, Linear Algebra, Physics, Engineering Calculations, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Mechanics, Engineering Analysis, Differential Equations, Physical Science, Mathematics and Mathematical Modeling
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
96 reviews
Intermediate · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Constructivism and Mathematics, Science, and Technology Education
Skills you'll gain: Mathematics Education, Research, Qualitative Research
4.7
Rating, 4.7 out of 5 stars
47 reviews
Mixed · Course · 1 - 3 Months
Korea Advanced Institute of Science and Technology(KAIST)
Electrodynamics: Analysis of Electric Fields
Skills you'll gain: Electrical Engineering, Electronic Components, Engineering Analysis, Applied Mathematics, Scientific Visualization, Visualization (Computer Graphics), Engineering Calculations, Differential Equations, Advanced Mathematics, Physics, Mathematical Modeling, Calculus, Equipment Design
4.8
Rating, 4.8 out of 5 stars
167 reviews
Advanced · Course · 1 - 3 Months
University of Colorado Boulder
Fundamentals of Macroscopic and Microscopic Thermodynamics
Skills you'll gain: Mechanical Engineering, Physics, Probability Distribution, Statistics, Physical Science, Engineering Analysis, Science and Research
4.3
Rating, 4.3 out of 5 stars
262 reviews
Advanced · Course · 1 - 4 Weeks
University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Statistical Visualization, Python Programming, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Statistical Modeling, Feature Engineering, Performance Tuning
Build toward a degree
3.4
Rating, 3.4 out of 5 stars
74 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
University of Geneva
Physique des particules - une introduction
Skills you'll gain: Physics, Physical Science, Calculus, Science and Research, Experimentation, Research, Mathematical Modeling, Applied Mathematics
4.3
Rating, 4.3 out of 5 stars
83 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Tecnológico de Monterrey
Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Numerical Analysis, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Applied Mathematics, Predictive Modeling, Derivatives
4.6
Rating, 4.6 out of 5 stars
715 reviews
Mixed · Course · 3 - 6 Months
University of Colorado Boulder
Control Systems Analysis: Modeling of Dynamic Systems
Skills you'll gain: Process Control, Mathematical Modeling, Engineering Analysis, Differential Equations, Engineering Calculations, Systems Analysis, Mechanical Engineering, Mechanics, Applied Mathematics, Performance Testing, Electrical Engineering, Basic Electrical Systems
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
78 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Johns Hopkins University
Foundations of Probability and Random Variables
Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
Intermediate · Course · 1 - 3 Months

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

Data Collection: Online, Telephone and Face-to-face: University of Michigan
Chemical Engineering Thermodynamics 1: Korea Advanced Institute of Science and Technology(KAIST)
Stability and Capability in Quality Improvement: University of Colorado Boulder
Quantum Mechanics for Engineers: University of Colorado Boulder
Constructivism and Mathematics, Science, and Technology Education: University of Illinois Urbana-Champaign
Electrodynamics: Analysis of Electric Fields: Korea Advanced Institute of Science and Technology(KAIST)
Fundamentals of Macroscopic and Microscopic Thermodynamics: University of Colorado Boulder
Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
Physique des particules - une introduction: University of Geneva
Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey

Discrete Mathematics Courses Online