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    • Discrete Mathematics

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    134 results for "discrete mathematics"

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      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Accounting, Business Analysis, Financial Accounting, Data Analysis, Finance, 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

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      University of Pennsylvania

      Business and Financial Modeling

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

      4.5

      (10.2k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Pennsylvania

      Business Analytics

      Skills you'll gain: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science

      4.6

      (17.2k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis

      4.9

      (1.9k reviews)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      IBM Machine Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, General Statistics, Forecasting, Machine Learning Algorithms, Regression, Data Analysis, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Statistical Machine Learning, Algorithms, Business Analysis, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Computer Vision, Applied Machine Learning, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Natural Language Processing, Python Programming, Reinforcement Learning, Statistical Programming, Statistical Visualization, Algebra, Application Development, Basic Descriptive Statistics, Correlation And Dependence, Data Analysis Software, Estimation, SQL, Software Engineering, Statistical Analysis, Statistical Tests

      4.6

      (1.4k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Introduction to Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Regression, Data Analysis, General Statistics, Probability & Statistics, Theoretical Computer Science, Statistical Machine Learning, Algorithms, Dimensionality Reduction, Business Analysis, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Human Resources, Leadership Development, Leadership and Management, Applied Machine Learning, Computer Vision, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Algebra, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Data Analysis Software, Data Visualization, Deep Learning, Estimation, Python Programming, SQL, Statistical Analysis, Statistical Programming, Statistical Tests

      4.6

      (1.4k reviews)

      Intermediate · Specialization · 3-6 Months

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      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Finance, Probability & Statistics, Risk Management, Mathematics, General Statistics, Probability Distribution, Investment Management, Mathematical Theory & Analysis, Securities Sales, Securities Trading, Accounting, Audit, Algebra, Calculus, Correlation And Dependence, Linear Algebra, Applied Mathematics, BlockChain, Communication, Computer Programming, Entrepreneurship, FinTech, Leadership and Management, Machine Learning, Markov Model, Product Marketing, Sales, Strategy

      4.4

      (138 reviews)

      Intermediate · Specialization · 3-6 Months

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      Stanford University

      Algorithms

      Skills you'll gain: Algorithms, Theoretical Computer Science, Computer Science, Mathematics, Data Structures, Graph Theory, Computer Programming, Data Management, Probability & Statistics, Computational Thinking, Probability Distribution, Entrepreneurship, General Statistics, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Operations Research, Problem Solving, Research and Design, Strategy and Operations

      4.8

      (5.6k reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Machine Learning, Probability & Statistics, General Statistics, Machine Learning Algorithms, Applied Machine Learning, Mathematics, Reinforcement Learning, Theoretical Computer Science, Econometrics, Algorithms, Data Management, Data Structures, Tensorflow, Artificial Neural Networks, Data Analysis, Data Mining, Mathematical Theory & Analysis, Probability Distribution, Bayesian Statistics, Computer Programming, Operations Research, Python Programming, Research and Design, Statistical Programming, Strategy and Operations, Communication

      4.9

      (915 reviews)

      Beginner · Course · 1-4 Weeks

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      University System of Georgia

      Six Sigma Yellow Belt

      Skills you'll gain: Strategy and Operations, Business Analysis, Business Process Management, Entrepreneurship, Data Analysis, Probability & Statistics, Operations Management, Statistical Analysis, Performance Management, Basic Descriptive Statistics, General Statistics, Operational Analysis, Supply Chain and Logistics, Business Psychology, Leadership and Management, Process Analysis, Project Management, Research and Design, Correlation And Dependence, Data Visualization, Probability Distribution, Collaboration, Communication, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Operations Research, Plot (Graphics), Regression, Statistical Tests, Survey Creation, Conflict Management, Design and Product, Human Resources, Organizational Development, Problem Solving, Product Management, Product Strategy, Training, Business Intelligence, Critical Thinking, Mathematics, Software Engineering, Software Testing, Strategy

      4.6

      (8.4k reviews)

      Beginner · Specialization · 3-6 Months

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      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Deep Learning, Machine Learning, Probability & Statistics, Statistical Machine Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Python Programming, General Statistics, Linear Algebra, Applied Machine Learning, Applied Mathematics, Dimensionality Reduction, Feature Engineering, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Statistical Visualization, Computer Programming, Tensorflow, Algorithms, Calculus, Probability Distribution, Regression, Theoretical Computer Science

      4.9

      (61.9k reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Mathematics, Probability & Statistics, Computer Programming, Strategy and Operations, Estimation, Leadership and Management, Theoretical Computer Science, Algorithms, Data Analysis, General Statistics, Operating Systems, Linear Algebra, Systems Design, Machine Learning, Research and Design, Software Engineering, Design and Product, Entrepreneurship, Material Handling, Product Lifecycle, Supply Chain and Logistics, Correlation And Dependence, Algebra, Data Analysis Software, Data Management, Data Model, Feature Engineering, Graph Theory, Operations Research, Probability Distribution, Software Testing, Problem Solving, Product Management, Applied Mathematics, Calculus, Mathematical Theory & Analysis, Account Management, Differential Equations, Markov Model, Matlab, Other Programming Languages, Sales, Statistical Machine Learning, System Programming, Marketing, Strategy

      4.7

      (2.3k reviews)

      Intermediate · 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
    1…456…12

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

    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Business and Financial Modeling: University of Pennsylvania
    • Business Analytics: University of Pennsylvania
    • Advanced Learning Algorithms: DeepLearning.AI
    • IBM Machine Learning: IBM Skills Network
    • IBM Introduction to Machine Learning: IBM Skills Network
    • Financial Engineering and Risk Management: Columbia University
    • Algorithms: Stanford University
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Six Sigma Yellow Belt: University System of Georgia

    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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