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    • Discrete Mathematics

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    134 results for "discrete mathematics"

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      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Statistical Programming, R Programming, Probability & Statistics, Data Management, Data Structures, Data Visualization, Visualization (Computer Graphics), Business Analysis, Data Analysis, Statistical Analysis, Experiment, General Statistics, Machine Learning, Computer Graphic Techniques, Computer Graphics, Correlation And Dependence, Regression, Statistical Tests, Bioinformatics, Extract, Transform, Load, Computer Programming, Computer Programming Tools, Machine Learning Algorithms, Probability Distribution, Computer Vision, Data Analysis Software, Data Visualization Software, Operating Systems, Python Programming, Software Visualization, Account Management, Accounting, Accounting Software, Adaptability, Advertising, Advertising Sales, Algebra, Amazon Web Services, Artificial Neural Networks, Business Psychology, Cloud Computing, Cloud Storage, Communication, Entrepreneurship, Estimation, Marketing, Mathematics, Sales, Spatial Analysis, Statistical Visualization, Theoretical Computer Science

      4.6

      (2.9k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Washington

      Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Data Science, Statistical Machine Learning, Linear Algebra, Statistical Analysis, Data Mining, Regression, Applied Machine Learning, Feature Engineering, General Statistics, Natural Language Processing, Python Programming, Machine Learning Software, Statistical Tests, Data Analysis, Dimensionality Reduction, Statistical Programming, Deep Learning, Basic Descriptive Statistics, Probability & Statistics, Computer Vision, Statistical Visualization, Estimation, Probability Distribution, Correlation And Dependence, Forecasting, Big Data, Data Management, Algorithms, Bayesian Statistics, Business Analysis, Business Psychology, Computational Logic, Computational Thinking, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Structures, Distributed Computing Architecture, Entrepreneurship, Exploratory Data Analysis, Markov Model, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.6

      (15.9k reviews)

      Intermediate · Specialization · 3-6 Months

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      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Algorithms, Theoretical Computer Science, Mathematics, General Statistics, Probability & Statistics, Mathematical Theory & Analysis, Computer Graphic Techniques, Computer Graphics, Applied Mathematics, Algebra, Computational Logic, Linear Algebra

      4.5

      (616 reviews)

      Intermediate · Specialization · 3-6 Months

    • Free

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      Duke University

      Data Science Math Skills

      Skills you'll gain: Mathematics, Probability & Statistics, General Statistics, Algebra, Bayesian Statistics, Computational Logic, Data Visualization, Graph Theory, Mathematical Theory & Analysis, Plot (Graphics), Probability Distribution, Theoretical Computer Science

      4.5

      (11k reviews)

      Beginner · Course · 1-3 Months

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      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Probability & Statistics, General Statistics, Mathematics, Probability Distribution, Regression, Linear Algebra, Experiment, Bayesian Statistics, Statistical Tests, Econometrics, Machine Learning, Basic Descriptive Statistics, Biostatistics, Calculus, Algebra, Artificial Neural Networks, Dimensionality Reduction, Machine Learning Algorithms, Statistical Machine Learning, Communication, Correlation And Dependence, Data Analysis, Estimation, Exploratory Data Analysis, Statistical Analysis

      4.4

      (693 reviews)

      Advanced · Specialization · 3-6 Months

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      University of Colorado Boulder

      Algebra and Differential Calculus for Data Science

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

      4.4

      (105 reviews)

      Intermediate · Course · 1-3 Months

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      Free

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      University of Pennsylvania

      Calculus: Single Variable Part 1 - Functions

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

      4.7

      (2k reviews)

      Mixed · Course · 1-4 Weeks

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Application, Extract, Transform, Load, Computational Logic, Database Administration, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (53.6k reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Business Analysis, Microsoft Excel, Probability & Statistics, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Accounting, Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (15.5k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (138.3k reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Skills you'll gain: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Econometrics, Estimation, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics

      4.6

      (16k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Accounting, Business Analysis, Financial Accounting, Finance, Data Analysis, Probability & Statistics, Statistical Analysis, Financial Analysis, Entrepreneurship, General Statistics, Spreadsheet Software, Data Model, Decision Making, Forecasting, Leadership and Management, Microsoft Excel, Planning, Statistical Tests, Strategy, Strategy and Operations, Business Transformation, Data Management, Estimation, Marketing, Probability Distribution, Regression, Sales, Supply Chain and Logistics, Financial Management, Business Research, Correlation And Dependence, Data Visualization, Investment Management, Research and Design, Statistical Visualization, Taxes, Accounts Payable and Receivable, Performance Management, Data Analysis Software, Design and Product, Market Research, Mathematics, Product Management, Product Marketing

      4.5

      (15.1k 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

    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Machine Learning: University of Washington
    • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
    • Data Science Math Skills: Duke University
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
    • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • Deep Learning: DeepLearning.AI

    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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