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 .

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Explore the Discrete Mathematics Course Catalog

Packt
Python Fundamentals and Data Science Essentials
Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Data Visualization Software, Seaborn, Pandas (Python Package), Machine Learning, Supervised Learning, Data Analysis, Jupyter, Python Programming, Data Manipulation, Programming Principles, Regression Analysis, Data Structures
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Household Surveys for Program Evaluation in LMICs
Skills you'll gain: Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Mapping, Data Ethics, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Rice University
Physics of Light and Materials
Skills you'll gain: Physics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Engineering Calculations, Engineering Analysis, Applied Mathematics
4.9
Rating, 4.9 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science Decisions in Time
Skills you'll gain: Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Predictive Analytics, Business Analytics, Biostatistics, Data Science, Decision Making, Statistical Methods, Anomaly Detection, Cybersecurity, Algorithms
Intermediate · Specialization · 3 - 6 Months
Google Cloud
Launching into Machine Learning en Français
Skills you'll gain: Exploratory Data Analysis, Data Analysis, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Supervised Learning, Unsupervised Learning, Performance Testing, Google Cloud Platform, Regression Analysis, Sampling (Statistics), Performance Tuning
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Ball State University
Introduction to Data Science
Skills you'll gain: Data Ethics, Data Collection, Data Visualization, Probability & Statistics, R Programming, Data Science, Sampling (Statistics), Database Software, Simulations, Data Wrangling, Analytical Skills, Mathematical Theory & Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Data Structures
Build toward a degree
Beginner · Course · 3 - 6 Months
Status: New
Johns Hopkins University
Statistical Methods for Computer Science
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Statistics, Applied Machine Learning, Probability & Statistics, Statistical Methods, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Mathematical Modeling
Intermediate · Specialization · 3 - 6 Months
Status: New
Macquarie University
Excel Skills for Statistics and Data Analysis: Essentials
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Analysis, Statistics, Box Plots, Probability Distribution, Statistical Visualization, Histogram, Data Presentation
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 2
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Statistical Modeling
5
Rating, 5 out of 5 stars
7 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Attitude Control with Momentum Exchange Devices
Skills you'll gain: Simulation and Simulation Software, Vibrations, Process Control, Simulations, Mechanics, Angular, Engineering Calculations, Engineering Analysis, Torque (Physics), Mechanical Engineering, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Differential Equations, Applied Mathematics, Calculus
Advanced · Course · 1 - 3 Months
Rice University
Physics of Geometrical and Physical Optics
Skills you'll gain: Physics, Engineering Calculations, Applied Mathematics, Engineering Analysis, Advanced Mathematics, Physical Science, Mathematical Modeling, Trigonometry, Calculus, Linear Algebra
Intermediate · Course · 1 - 4 Weeks
Università di Napoli Federico II
Financial Intermediation
Skills you'll gain: FinTech, Financial Systems, Banking, Financial Services, Financial Regulations, Commercial Banking, Retail Banking, Financial Statements, Balance Sheet, Financial Market, Econometrics, Financial Analysis, Credit Risk, Economics, Market Dynamics
Intermediate · Course · 1 - 3 Months