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    • Discrete Mathematics

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    134 results for "discrete mathematics"

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      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Mathematics, Graph Theory, Computer Science, Computer Programming, Python Programming, Statistical Programming, Data Science, Algebra, Theoretical Computer Science, Probability & Statistics, Algorithms, Calculus, Combinatorics, Data Analysis, Statistical Analysis, General Statistics, Mathematical Theory & Analysis, Programming Principles, Bayesian Statistics, Computational Thinking, Geometry, Applied Mathematics, Correlation And Dependence, Estimation, Probability Distribution, Computational Logic, Business Analysis, Communication, Computer Architecture, Critical Thinking, Cryptography, Data Visualization, Entrepreneurship, Leadership and Management, Machine Learning, Markov Model, Microarchitecture, Problem Solving, Research and Design, Scientific Visualization, Security Engineering, Statistical Visualization, Strategy and Operations

      4.5

      (3.3k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      Shanghai Jiao Tong University

      Discrete Mathematics

      Skills you'll gain: Computational Logic, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      3.3

      (163 reviews)

      Intermediate · Course · 1-3 Months

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      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis

      4.5

      (277 reviews)

      Beginner · Specialization · 1-3 Months

    • Free

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      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics, Computational Logic, Theoretical Computer Science

      4.7

      (269 reviews)

      Beginner · Course · 3-6 Months

    • Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

    • Free

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      University of Pennsylvania

      Single Variable Calculus

      Skills you'll gain: Calculus, Mathematics, Mathematical Theory & Analysis, Graph Theory

      4.6

      (296 reviews)

      Mixed · Course · 1-3 Months

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      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Mathematics, Algebra, Linear Algebra, Machine Learning, Computer Programming, General Statistics, Probability & Statistics, Python Programming, Statistical Programming, Dimensionality Reduction, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Regression, Computer Graphic Techniques, Computer Graphics, Experiment, Mathematical Theory & Analysis

      4.1

      (3k reviews)

      Intermediate · Course · 1-4 Weeks

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      Free

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      Shanghai Jiao Tong University

      离散数学

      4.4

      (28 reviews)

      Beginner · Course · 1-3 Months

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      University of Pennsylvania

      Master of Computer and Information Technology

      Skills you'll gain: Theoretical Computer Science, Computer Programming, Databases, Data Management, Mathematics, Data Structures, Java Programming, Mobile Development, Statistical Programming, Algorithms, Operating Systems, Python Programming, Probability & Statistics, Graph Theory, Software Engineering, Mathematical Theory & Analysis, General Statistics, SQL, Design and Product, Product Design, Software Architecture, Combinatorics, System Programming, Probability Distribution, Software Testing, Agile Software Development, Computer Graphic Techniques, Computer Graphics, Software Framework, Operations Research, Research and Design, Strategy and Operations, Data Visualization, Database Design, Linear Algebra, Programming Principles, Statistical Machine Learning, Computer Networking, Network Architecture, Computer Architecture, Bayesian Statistics, Correlation And Dependence, Data Analysis, Database Theory, Dimensionality Reduction, Estimation, Machine Learning Algorithms, Regression, Software Engineering Tools, Advertising, Algebra, Application Development, BlockChain, Communication, Cryptography, Finance, Human Computer Interaction, Javascript, Journalism, Marketing, Security Engineering, Web Development

      Earn a degree

      Degree · 1-4 Years

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      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Mathematics, Algebra, Geometry, Algorithms, Applied Mathematics, Computational Thinking, Theoretical Computer Science, Computational Logic, Business Analysis, Computer Programming, Critical Thinking, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Programming Principles, Python Programming, Research and Design, Statistical Programming, Strategy and Operations

      4.4

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      University of Colorado System

      Asymmetric Cryptography and Key Management

      Skills you'll gain: Cryptography, Security Engineering, Theoretical Computer Science, Algorithms, Applied Mathematics, Mathematics, Computational Logic

      4.7

      (243 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of California San Diego

      Delivery Problem

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Graph Theory, Mathematics, Algorithms, Programming Principles, Theoretical Computer Science, Communication

      4.7

      (358 reviews)

      Beginner · Course · 1-4 Weeks

    Searches related to discrete mathematics

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

      Skills you can learn in Probability And Statistics

      R Programming (19)
      Inference (16)
      Linear Regression (12)
      Statistical Analysis (12)
      Statistical Inference (11)
      Regression Analysis (10)
      Biostatistics (9)
      Bayesian (7)
      Logistic Regression (7)
      Probability Distribution (7)
      Bayesian Statistics (6)
      Medical Statistics (6)

      Frequently Asked Questions about 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.‎

      • 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.‎

      This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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