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

Google
Google Data Analytics
Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Collection, Data Analysis, Sampling (Statistics), Google Analytics
4.5
Rating, 4.5 out of 5 stars
312 reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Inferential Statistical Analysis with Python
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Quantitative Research, Python Programming, Matplotlib, NumPy
4.6
Rating, 4.6 out of 5 stars
917 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Hypothesis Testing in Public Health
Skills you'll gain: Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology
4.8
Rating, 4.8 out of 5 stars
637 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Algebra: Elementary to Advanced - Polynomials and Roots
Skills you'll gain: Algebra, Advanced Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing
4.9
Rating, 4.9 out of 5 stars
146 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of Pennsylvania
Calculus: Single Variable Part 3 - Integration
Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Engineering Calculations, Advanced Mathematics, Numerical Analysis, Mathematical Modeling
4.8
Rating, 4.8 out of 5 stars
528 reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Active Learning in STEM with PhET Interactive Simulations
Skills you'll gain: Interactive Learning, Design Reviews, Mathematics Education, Instructional Strategies, Simulations, Pedagogy, Teaching, Simulation and Simulation Software, Student Engagement, Web Content Accessibility Guidelines, Research, Design Strategies, Technical Documentation
4.9
Rating, 4.9 out of 5 stars
129 reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado Boulder
Kinetics: Studying Spacecraft Motion
Skills you'll gain: Vibrations, Mechanics, Torque (Physics), Engineering Calculations, Engineering Analysis, Differential Equations, Structural Analysis, Mathematical Modeling, Simulation and Simulation Software, Applied Mathematics, Linear Algebra, Physics, Calculus
4.8
Rating, 4.8 out of 5 stars
132 reviews
Advanced · Course · 1 - 4 Weeks
IBM
Supervised Machine Learning: Classification
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
4.8
Rating, 4.8 out of 5 stars
404 reviews
Intermediate · Course · 1 - 3 Months
École Polytechnique
Wind resources for renewable energies
Skills you'll gain: Real Time Data, Physical Science, Estimation, Environment and Resource Management, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Engineering Calculations, Physics, Mechanics
3.6
Rating, 3.6 out of 5 stars
130 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
University of Maryland, College Park
Exploring Quantum Physics
Skills you'll gain: Physics, Quantitative Research, Science and Research, Mechanics, Physical Science, Advanced Mathematics, Mathematical Modeling
4.2
Rating, 4.2 out of 5 stars
67 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Koç University
Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications
Skills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Numerical Analysis, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
26 reviews
Mixed · Course · 1 - 3 Months
Arizona State University
Materials Science for Technological Application
Skills you'll gain: Failure Analysis, Semiconductors, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Thermal Management, Engineering, Process Control, Mechanics, Physical Science, Physics, Civil Engineering, Process Engineering, Product Testing, Engineering Calculations, Engineering Analysis, Electronic Components, Reliability, General Science and Research
4.7
Rating, 4.7 out of 5 stars
174 reviews
Beginner · Specialization · 3 - 6 Months

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

Google Data Analytics: Google
Inferential Statistical Analysis with Python: University of Michigan
Hypothesis Testing in Public Health : Johns Hopkins University
Algebra: Elementary to Advanced - Polynomials and Roots: Johns Hopkins University
Calculus: Single Variable Part 3 - Integration: University of Pennsylvania
Active Learning in STEM with PhET Interactive Simulations: University of Colorado Boulder
Kinetics: Studying Spacecraft Motion: University of Colorado Boulder
Supervised Machine Learning: Classification: IBM
Wind resources for renewable energies: École Polytechnique
Exploring Quantum Physics: University of Maryland, College Park

Discrete Mathematics Courses Online