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

Status: New
Packt
Statistics & Mathematics for Data Science & Data Analytics
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Untersuchen und Erstellen von Daten für Unternehmen
Skills you'll gain: Data Literacy, Data Presentation, Microsoft Excel, Sampling (Statistics), Statistics, Descriptive Statistics, Statistical Analysis, Data Analysis, Statistical Inference, Probability & Statistics, Probability Distribution
Beginner · Course · 1 - 3 Months
Northwestern University
현대 로봇공학, 강좌 2: 로봇 기구학
Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis
Intermediate · Course · 1 - 4 Weeks
Status: New
University of Colorado Boulder
Introduction to Bayesian Statistics for Data Science
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution
Intermediate · Course · 1 - 3 Months
Northwestern University
현대 로봇공학, 강좌 3: 로봇 동역학
Skills you'll gain: Automation Engineering, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanical Engineering, Engineering Calculations, Software Development Tools, Numerical Analysis, Mechanics, Torque (Physics), Algorithms, Control Systems, Applied Mathematics, Differential Equations, Linear Algebra
Intermediate · Course · 1 - 4 Weeks
Northwestern University
현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어
Skills you'll gain: Control Systems, Simulation and Simulation Software, Graph Theory, Mathematical Modeling, Artificial Intelligence, Computer Programming Tools, Mechanics, Algorithms, Virtual Environment, Applied Mathematics, Numerical Analysis, Differential Equations, Torque (Physics)
Intermediate · Course · 1 - 4 Weeks
Status: New
Koç University
KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS
Skills you'll gain: Graphing, General Mathematics, Calculus, Algebra, Mathematical Theory & Analysis, Arithmetic, Geometry
Beginner · Course · 1 - 3 Months
Northwestern University
현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇
Skills you'll gain: Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Program Development, Linear Algebra
Intermediate · Course · 1 - 4 Weeks
Status: Free
O.P. Jindal Global University
Econometrics - Theory and Practice
Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Quantitative Research, Statistical Methods, Stata, Time Series Analysis and Forecasting, Correlation Analysis, Statistical Inference, Statistical Analysis, Probability & Statistics, Data Manipulation, Probability Distribution
Beginner · Course · 1 - 3 Months
Status: New
Packt
NumPy, Matplotlib & Pandas – Data Science Prerequisites
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra
Beginner · Course · 1 - 3 Months
Status: New
Packt
Comprehensive Introduction to Quantum Mechanics
Skills you'll gain: Physics, Emerging Technologies, Mechanics, Chemistry, Cryptography, Computer Science, Quantitative Research, Mathematical Modeling
Beginner · Course · 1 - 3 Months
Status: New
Koç University
KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Mathematical Theory & Analysis, Mathematical Software, Applied Mathematics, Derivatives
Mixed · Course · 1 - 3 Months

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

Statistics & Mathematics for Data Science & Data Analytics: Packt
Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS: Koç University
현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇: Northwestern University
Econometrics - Theory and Practice: O.P. Jindal Global University
NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt

Discrete Mathematics Courses Online