Skills you'll gain: Cryptography, Security Engineering, Theoretical Computer Science, Algorithms, Mathematics, Computational Logic, Applied Mathematics, Mathematical Theory & Analysis, Probability & Statistics, Probability Distribution, FinTech
Intermediate · Specialization · 3-6 Months
Earn a degree
Degree · 1-4 Years
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Tests, Basic Descriptive Statistics, Bayesian Statistics, Biostatistics, Experiment, Probability Distribution, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Regression, Statistical Analysis
Mixed · Course · 1-4 Weeks
Skills you'll gain: Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Experiment, Research and Design, Statistical Tests, Probability Distribution
Mixed · Course · 1-3 Months
Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Bayesian Statistics, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Experiment, Regression, Estimation
Intermediate · Course · 1-4 Weeks
Skills you'll gain: Probability & Statistics, Data Visualization, General Statistics, Statistical Visualization, Data Analysis, Basic Descriptive Statistics, Correlation And Dependence, Statistical Tests, Probability Distribution, Regression, Statistical Analysis, Business Analysis, Business Psychology, Entrepreneurship, Experiment, Leadership and Management, Minitab, Operations Management, Organizational Development, Planning, Plot (Graphics), Statistical Programming, Strategy and Operations, Supply Chain and Logistics
Beginner · Course · 1-3 Months
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.
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.
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.
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.