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    • Discrete Mathematics

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    134 results for "discrete mathematics"

    • Free

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      Shanghai Jiao Tong University

      离散数学

      4.4

      (28 reviews)

      Beginner · Course · 1-3 Months

    • Free

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      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Mathematics, Algebra, Entrepreneurship, Leadership and Management, Mathematical Theory & Analysis, Problem Solving, Research and Design

      4.8

      (1.1k reviews)

      Beginner · Course · 1-4 Weeks

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      Imperial College London

      Mathematics for Machine Learning

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

      4.6

      (13.5k reviews)

      Beginner · Specialization · 3-6 Months

    • Free

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      The University of Melbourne

      Discrete Optimization

      Skills you'll gain: Computer Science, Mathematics, Applied Mathematics, Computer Programming, Geometry, Linear Algebra, Python Programming, Algorithms, Entrepreneurship, Graph Theory, Market Research, Operations Research, Programming Principles, Research and Design, Software Engineering, Software Testing, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.8

      (708 reviews)

      Intermediate · Course · 1-3 Months

    • Free

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      The University of Melbourne

      Solving Algorithms for Discrete Optimization

      Skills you'll gain: Algebra, Mathematical Theory & Analysis

      4.8

      (40 reviews)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      IBM Data Analyst

      Skills you'll gain: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Application, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Database Administration, Econometrics, Interactive Data Visualization, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (62.3k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (9.3k reviews)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Machine Learning, Probability & Statistics, Regression, General Statistics, Machine Learning Algorithms, Algorithms, Theoretical Computer Science, Econometrics, Computer Programming, Mathematics, Python Programming, Statistical Machine Learning, Statistical Programming, Applied Machine Learning, Artificial Neural Networks, Calculus, Feature Engineering, Linear Algebra, Probability Distribution, Accounting

      4.9

      (8k reviews)

      Beginner · Course · 1-4 Weeks

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      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Probability & Statistics, Bayesian Statistics, General Statistics, Probability Distribution, Data Science, Statistical Programming, R Programming, Regression, Forecasting, Machine Learning, Markov Model, Statistical Machine Learning, Bayesian Network, Basic Descriptive Statistics, Estimation, Experiment, Correlation And Dependence, Data Visualization, Machine Learning Algorithms, Statistical Tests, Statistical Visualization, Advertising, Business Analysis, Communication, Data Analysis, Graph Theory, Marketing, Mathematics, Statistical Analysis

      4.6

      (3.3k reviews)

      Intermediate · Specialization · 3-6 Months

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      Duke University

      Excel to MySQL: Analytic Techniques for Business

      Skills you'll gain: Data Analysis, Probability & Statistics, Business Analysis, Spreadsheet Software, General Statistics, Databases, Statistical Tests, Data Management, Database Administration, Database Theory, Data Visualization, Data Visualization Software, Data Analysis Software, Probability Distribution, Regression, SQL, Data Warehousing, Database Application, Correlation And Dependence, Estimation, Forecasting, Statistical Analysis, Basic Descriptive Statistics, Data Mining, Machine Learning, Financial Analysis, Big Data, Data Architecture, Tableau Software, Business Intelligence, Financial Management, Microsoft Excel, Finance, Investment Management, Operational Analysis, Strategy, Business Communication, Communication, Customer Analysis, Exploratory Data Analysis, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Research and Design, Data Model, Database Design, Storytelling, Algebra, Bayesian Statistics, Combinatorics, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Entrepreneurship, Feature Engineering, Leadership and Management, Plot (Graphics), Problem Solving, Statistical Visualization, Strategy and Operations, Theoretical Computer Science, Interactive Data Visualization, Marketing, Risk Management

      4.6

      (14.9k reviews)

      Beginner · Specialization · 3-6 Months

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      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Probability & Statistics, Machine Learning, Bayesian Network, General Statistics, Markov Model, Bayesian Statistics, Probability Distribution, Computer Architecture, Distributed Computing Architecture, Leadership and Management, Other Programming Languages, Computer Programming, Machine Learning Algorithms, Statistical Machine Learning, Applied Machine Learning, Correlation And Dependence, Behavioral Economics, Business Psychology, Data Analysis, Graph Theory, Mathematics, Algebra, Geovisualization

      4.6

      (1.5k reviews)

      Advanced · Specialization · 3-6 Months

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      Duke University

      Data Analysis with R

      Skills you'll gain: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Probability Distribution, Data Science, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to discrete mathematics

    introduction to discrete mathematics for computer science
    离散数学概论 discrete mathematics generality
    1234…12

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

    • 离散数学: Shanghai Jiao Tong University
    • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
    • Mathematics for Machine Learning: Imperial College London
    • Discrete Optimization: The University of Melbourne
    • Solving Algorithms for Discrete Optimization: The University of Melbourne
    • IBM Data Analyst: IBM Skills Network
    • Machine Learning: DeepLearning.AI
    • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
    • Bayesian Statistics: University of California, Santa Cruz
    • Excel to MySQL: Analytic Techniques for Business: Duke 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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