
Shanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Network Model, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Mathematics and Mathematical Modeling, Logical Reasoning, General Mathematics, Algorithms, Probability, Computer Science
★ 3.3 (203) · Intermediate · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Mathematics and Mathematical Modeling, Applied Mathematics, Algorithms, Cryptography, Data Management
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Graphing, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms, Arithmetic
★ 4.5 (3.7K) · Beginner · Specialization · 3 - 6 Months

Peking University
Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Network Analysis, Geospatial Information and Technology, Spatial Data Analysis, Logical Reasoning, Computational Thinking, Deductive Reasoning, Algebra, Computer Science
★ 4.7 (281) · Beginner · Course · 3 - 6 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Analysis, Numerical Analysis, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Engineering Calculations, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Advanced Mathematics, Geometry, Computational Thinking, Simulation and Simulation Software, Mechanics
★ 4.8 (7.8K) · Beginner · Specialization · 3 - 6 Months

The Chinese University of Hong Kong
Skills you'll gain: Operations Research, Model Optimization, Applied Mathematics, Mathematical Modeling, Problem Solving, Mathematical Software, Combinatorics, Graph Theory, Computational Logic, Computational Thinking, Data Modeling
★ 4.8 (459) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning
★ 4.6 (13K) · Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Data Preprocessing, Unsupervised Learning, Feature Engineering, Applied Mathematics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Artificial Neural Networks, Data Science, Data Manipulation, Python Programming, Data Transformation
★ 4.6 (15K) · Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Engineering, Algebra, Derivatives
★ 4.6 (184) · Beginner · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Advanced Mathematics, Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Mathematics Education, Deductive Reasoning, General Mathematics, Logical Reasoning
★ 4.8 (3K) · Intermediate · Course · 1 - 3 Months
University of London
Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning
★ 4.2 (279) · Beginner · Course · 1 - 4 Weeks
Discrete mathematics is a branch of mathematics that deals with discrete elements that use algebra and arithmetic. It encompasses a variety of topics such as logic, set theory, graph theory, and combinatorics. Discrete mathematics is crucial because it provides the foundational concepts necessary for computer science, cryptography, and algorithm design. Understanding these principles helps in developing efficient algorithms and data structures, which are essential in programming and software development.‎
A background in discrete mathematics can lead to various career opportunities. Positions such as data analyst, software developer, systems analyst, and operations researcher often require knowledge of discrete mathematics. Additionally, roles in academia and research, particularly in fields like computer science and engineering, value this expertise. As technology continues to advance, the demand for professionals skilled in discrete mathematics is likely to grow.‎
To learn discrete mathematics effectively, you should focus on several key skills. These include logical reasoning, problem-solving, and analytical thinking. Familiarity with mathematical proofs and the ability to work with algorithms and data structures are also important. Additionally, programming skills can enhance your understanding of how discrete mathematics applies in real-world scenarios, particularly in computer science.‎
There are several excellent online courses available for studying discrete mathematics. Notable options include the Discrete Mathematics course, which covers essential topics and applications. The Introduction to Discrete Mathematics for Computer Science Specialization is another comprehensive choice, providing a deeper dive into the subject tailored for aspiring computer scientists.‎
Yes. You can start learning discrete mathematics on Coursera for free in two ways:
If you want to keep learning, earn a certificate in discrete mathematics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn discrete mathematics, start by identifying your learning goals and preferred study methods. You can enroll in online courses, such as the Discrete Mathematics for Computer Science and Engineering course, which provides structured content. Supplement your learning with textbooks, practice problems, and online forums to discuss concepts with peers. Consistent practice and application of concepts will reinforce your understanding.‎
Typical topics covered in discrete mathematics courses include logic, set theory, functions, relations, combinatorics, graph theory, and algorithms. These subjects form the backbone of many computer science applications, enabling learners to understand complex systems and solve problems effectively. Courses often emphasize both theoretical concepts and practical applications, ensuring a well-rounded understanding.‎
For training and upskilling employees, courses like the Introduction to Discrete Mathematics for Computer Science Specialization are highly beneficial. They provide a comprehensive overview of discrete mathematics tailored for professionals in tech and engineering fields. Such courses can enhance problem-solving skills and analytical thinking, making them valuable for workforce development. ‎