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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

      (282 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

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      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Machine Learning, Data Analysis, Computer Programming, Probability & Statistics, Cloud Computing, Business Analysis, Data Management, Applied Machine Learning, General Statistics, Statistical Programming, Strategy and Operations, Algorithms, Data Visualization, Dimensionality Reduction, Exploratory Data Analysis, Statistical Analysis, Theoretical Computer Science, Python Programming, Business Process Management, Data Structures, Artificial Neural Networks, Cloud API, Cloud Applications, Cross Platform Development, Feature Engineering, Machine Learning Algorithms, Machine Learning Software, Mobile Development, Natural Language Processing, Operations Management, Statistical Machine Learning, Statistical Visualization, Application Development, Database Application, Databases, Entrepreneurship, Extract, Transform, Load, Forecasting, Kubernetes, Linear Algebra, Mathematics, Probability Distribution, Software Engineering, Software Testing, Algebra, Business Psychology, Computer Vision, Data Engineering, Data Science, Deep Learning, Docker (Software), Econometrics, Javascript, Journalism, Leadership and Management, Organizational Development, Problem Solving, Research and Design, Tensorflow, Web Development

      4.3

      (256 reviews)

      Advanced · Specialization · 3-6 Months

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      IBM Skills Network

      Advanced Data Science with IBM

      Skills you'll gain: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science

      4.3

      (3k reviews)

      Advanced · 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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      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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      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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      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

      (142 reviews)

      Intermediate · Specialization · 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

      (9.6k reviews)

      Beginner · Specialization · 1-3 Months

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      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

    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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