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    • Discrete Mathematics

    Discrete Mathematics Courses Online

    Master discrete mathematics for computer science and engineering. Learn about logic, set theory, combinatorics, graph theory, and algorithms.

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    Explore the Discrete Mathematics Course Catalog

    • F

      Fundação Instituto de Administração

      Pesquisa de Mercado e Estratégia de Marketing

      Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Analytics, Market Analysis, Market Research, Survey Creation, Exploratory Data Analysis, Marketing Strategies, Sampling (Statistics), Strategic Marketing, Marketing Management, Data Collection, Market Intelligence, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Analysis, Data-Driven Decision-Making, Marketing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Measurement Systems Analysis

      Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Scientific Visualization, Process Capability, Statistical Analysis, Systems Analysis, Data Analysis, Run Chart, Box Plots, Systems Of Measurement, Statistical Methods, Regression Analysis, R Programming, Scatter Plots, Statistical Hypothesis Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Davis

      ‏SQL لعلوم البيانات

      Skills you'll gain: SQL, Data Manipulation, Data Analysis, Business Analytics, Query Languages, Databases, Relational Databases, Data Management, Data Modeling, Data Integration

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Regression and Classification

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Applied Machine Learning

      Build toward a degree

      3.9
      Rating, 3.9 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Peking University

      电磁学下——恒磁场与时变电磁场

      Skills you'll gain: Electrical Engineering, Electrical Systems, Physics, Electronics, Advanced Mathematics, Engineering Analysis, Calculus, Differential Equations, Mathematical Modeling

      5
      Rating, 5 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Simulation of Covid-19 Testing Process Using R Simmer

      Skills you'll gain: Simulations, Visualization (Computer Graphics), Scenario Testing, R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Necessary Condition Analysis (NCA)

      Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Spacecraft Formation Relative Orbits

      Skills you'll gain: Control Systems, Vibrations, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Advanced Mathematics, Linear Algebra, Engineering Design Process, Engineering Calculations, Applied Mathematics, Physics, Calculus

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Statistics and Data Analysis with R

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • H

      Howard University

      Building Regression Models with Linear Algebra

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Foundations of Autonomous Systems

      Skills you'll gain: Computational Logic, Mathematical Modeling, Systems Design, Theoretical Computer Science, System Requirements, Verification And Validation, Software Systems, Simulations, Agentic systems, Control Systems, Systems Analysis, Automation, Mechanical Engineering, Applied Mathematics, Linear Algebra, Differential Equations, Computer Science, Artificial Intelligence, Algorithms

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Whole Class with PhET for STEM Education

      Skills you'll gain: Mathematics Education, Simulations, Simulation and Simulation Software, Scientific Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    Discrete Mathematics learners also search

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    1…474849…59

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

    • Pesquisa de Mercado e Estratégia de Marketing: Fundação Instituto de Administração
    • Measurement Systems Analysis: University of Colorado Boulder
    • ‏SQL لعلوم البيانات: University of California, Davis
    • Regression and Classification: University of Colorado Boulder
    • 电磁学下——恒磁场与时变电磁场: Peking University
    • Simulation of Covid-19 Testing Process Using R Simmer: Coursera Project Network
    • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
    • Spacecraft Formation Relative Orbits: University of Colorado Boulder
    • Statistics and Data Analysis with R: University of Colorado Boulder
    • Building Regression Models with Linear Algebra: Howard 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.‎

    Online Discrete Mathematics courses offer a convenient and flexible way to enhance your knowledge or learn new Discrete Mathematics skills. Choose from a wide range of Discrete Mathematics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Discrete Math, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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