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    • Discrete Mathematics

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    92 results for "discrete mathematics"

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      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Algebra, Algorithms, Artificial Neural Networks, Basic Descriptive Statistics, Calculus, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis, Deep Learning, Differential Equations, General Statistics, Lambda Calculus, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Matrices, Probability & Statistics, Probability Distribution, Python Programming, Regression, Statistical Programming, Theoretical Computer Science

      4.6

      (12.9k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      Shanghai Jiao Tong University

      Discrete Mathematics

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

      3.3

      (157 reviews)

      Intermediate · Course · 1-3 Months

    • Free

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      Peking University

      离散数学概论 Discrete Mathematics Generality

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

      4.7

      (259 reviews)

      Beginner · Course · 3-6 Months

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      University of California San Diego

      Mathematical Thinking in Computer Science

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

      4.4

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      University of London

      Mathematics for Computer Science

      Skills you'll gain: Plot (Graphics), Data Visualization, Microarchitecture, Theoretical Computer Science, Mathematics, Arithmetic, Computer Architecture

      4.1

      (181 reviews)

      Beginner · Course · 1-3 Months

    • Free

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      Stanford University

      Introduction to Statistics

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

      4.5

      (1.3k reviews)

      Beginner · Course · 1-3 Months

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      Imperial College London

      Statistical Analysis with R for Public Health

      Skills you'll gain: Analysis, Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Econometrics, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests

      4.7

      (1.6k reviews)

      Beginner · Specialization · 3-6 Months

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      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Algebra, Analysis, Applied Machine Learning, Business Analysis, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Matlab, Plot (Graphics), Predictive Modelling, Probability & Statistics, Probability Distribution, Regression, Statistical Analysis, Statistical Visualization, Web Development

      4.7

      (928 reviews)

      Beginner · Specialization · 3-6 Months

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      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Analysis, Bayesian, Bayesian Statistics, Business Analysis, Data Analysis, Econometrics, Estimation, Forecasting, General Statistics, Graph Theory, Inference, Machine Learning, Markov Model, Mathematics, Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Machine Learning, Statistical Programming

      4.6

      (3.2k reviews)

      Intermediate · Specialization · 3-6 Months

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      Free

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      Shanghai Jiao Tong University

      离散数学

      Skills you'll gain: Logic

      4.4

      (27 reviews)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Algebra and Differential Calculus for Data Science

      Skills you'll gain: Accounting, Mathematical Theory & Analysis, Software Architecture, Data Analysis, Design and Product, Computer Programming, Data Mining, Investment Management, Algebra, Probability & Statistics, Programming Principles, Big Data, Algorithms, Software Engineering, Data Model, Data Structures, Data Management, Mathematics, Differential Equations, Calculus, Product Design, Theoretical Computer Science, Finance, Corporate Accouting, Probability Distribution

      4.0

      (36 reviews)

      Intermediate · Course · 1-3 Months

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      Free

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      The University of Melbourne

      Discrete Optimization

      Skills you'll gain: Mathematical Optimization, Computer Programming, Market Research, Statistical Programming, Research and Design, Theoretical Computer Science, Algorithms, Linearity, Software Testing, Entrepreneurship, Software Engineering, Python Programming, Mathematics

      4.8

      (669 reviews)

      Intermediate · Course · 1-3 Months

    Searches related to discrete mathematics

    离散数学概论 discrete mathematics generality
    1234…8

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

    • Mathematics for Machine Learning: Imperial College London
    • Discrete Mathematics: Shanghai Jiao Tong University
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Mathematics for Computer Science: University of London
    • Introduction to Statistics: Stanford University
    • Statistical Analysis with R for Public Health: Imperial College London
    • Practical Data Science with MATLAB: MathWorks
    • Bayesian Statistics: University of California, Santa Cruz
    • 离散数学: Shanghai Jiao Tong University

    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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