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

Sungkyunkwan University
Machine Learning Algorithms
Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability & Statistics
3.5
Rating, 3.5 out of 5 stars
8 reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Analytical Mechanics for Spacecraft Dynamics
Skills you'll gain: Engineering Analysis, Vibrations, Mechanics, Finite Element Methods, Differential Equations, Applied Mathematics, Mathematical Modeling, Linear Algebra, Calculus
4.8
Rating, 4.8 out of 5 stars
10 reviews
Advanced · Course · 1 - 4 Weeks
Korea Advanced Institute of Science and Technology(KAIST)
Differential Equations Part III Systems of Equations
Skills you'll gain: Differential Equations, Applied Mathematics, Advanced Mathematics, Linear Algebra, Calculus, Engineering Analysis, Mathematical Modeling
4.1
Rating, 4.1 out of 5 stars
11 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Simulation of Call Centre Operations Using R Simmer
Skills you'll gain: Simulation and Simulation Software, Resource Management, Resource Allocation, Call Center Experience, Process Management, Data Analysis, Plot (Graphics), R Programming, Statistical Analysis, Operational Analysis, Statistical Modeling
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Defining, Describing, and Visualizing Data
Skills you'll gain: Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Visualization, Box Plots, R Programming, Statistical Methods, Exploratory Data Analysis, Data Manipulation, Probability, Statistical Analysis, Histogram
4.5
Rating, 4.5 out of 5 stars
10 reviews
Beginner · Course · 1 - 3 Months
Rice University
The Role of Culture in Teaching English Learners
Skills you'll gain: Diversity Awareness, Culture, Cultural Responsiveness, Intercultural Competence, Cultural Diversity, Teaching, Curriculum Planning, Mathematics Education, English Language, Language Learning, Pedagogy, Instructional Strategies, Student Engagement, Lesson Planning
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 4 Weeks
École Polytechnique Fédérale de Lausanne
Functional Program Design in Scala (Scala 2 version)
Skills you'll gain: Scala Programming, Functional Design, Software Design Patterns, Algorithms, Data Structures, Simulations
4.6
Rating, 4.6 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
Rice University
Physics of Light and Materials
Skills you'll gain: Physics, Mechanics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Differential Equations, Applied Mathematics, Integral Calculus
4.9
Rating, 4.9 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Launching into Machine Learning em Português Brasileiro
Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Google Cloud Platform, Data Processing, Data Analysis, Predictive Modeling, Big Data, Statistical Analysis, Sampling (Statistics), Regression Analysis, Performance Tuning
4.6
Rating, 4.6 out of 5 stars
32 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Modeling Data in the Tidyverse
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning
4.7
Rating, 4.7 out of 5 stars
9 reviews
Mixed · Course · 1 - 3 Months
Coursera Project Network
Tableau Public for Beginners: Data Visualization Basics
Skills you'll gain: Dashboard, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Data Analysis Software, Digital Publishing, Key Performance Indicators (KPIs), Data Import/Export
4
Rating, 4 out of 5 stars
6 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Random Processes
Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Mixed · Course · 1 - 4 Weeks

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

Machine Learning Algorithms: Sungkyunkwan University
Analytical Mechanics for Spacecraft Dynamics: University of Colorado Boulder
Differential Equations Part III Systems of Equations : Korea Advanced Institute of Science and Technology(KAIST)
Simulation of Call Centre Operations Using R Simmer: Coursera Project Network
Defining, Describing, and Visualizing Data: University of Colorado Boulder
The Role of Culture in Teaching English Learners: Rice University
Functional Program Design in Scala (Scala 2 version): École Polytechnique Fédérale de Lausanne
Physics of Light and Materials: Rice University
Launching into Machine Learning em Português Brasileiro: Google Cloud
Modeling Data in the Tidyverse: Johns Hopkins University

Discrete Mathematics Courses Online