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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

    • Status: New
      New
      J

      Johns Hopkins University

      Practical Methodology and Ethics in AI

      Skills you'll gain: Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Probability Distribution, Social Studies

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Predicting Extreme Climate Behavior with Machine Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Sentido Numérico para la Educación Primaria con PhET

      Skills you'll gain: Mathematics Education, Teaching, Instructional Strategies, Education Software and Technology, Simulation and Simulation Software, Diversity Awareness, Arithmetic

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 1: 로봇 동작의 기초

      Skills you'll gain: Mathematical Modeling, Engineering, Mechanics, Automation, Torque (Physics), Engineering Analysis, Virtual Environment, Simulation and Simulation Software, Engineering Calculations, Matlab, Applied Mathematics, Linear Algebra, Computer Programming Tools

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Nouvelles approches pour mesurer la santé de la population

      Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Sampling (Statistics), Health Informatics, Health Disparities, Health Information Management, Data Integration, Continuous Monitoring

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      K

      Koç University

      KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Thermodynamics and Phase Equilibria

      Skills you'll gain: Mechanical Engineering, Engineering, Thermal Management, Physics, Chemical Engineering, Physical Science, Energy and Utilities, Chemistry, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Exploration et production de données pour les entreprises

      Skills you'll gain: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Preparar Atividades PhET para Educação STEM

      Skills you'll gain: Mathematics Education, Design Reviews, Simulations, Interactive Design, Design Thinking, Experimentation, Scientific Methods, Chemistry, Physics, Graphing, Biology, Algebra

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Aplicar Atividades PhET para Educação STEM

      Skills you'll gain: Simulations, Mathematics Education, Science and Research, User Feedback, Technical Support

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

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

    • Practical Methodology and Ethics in AI: Johns Hopkins University
    • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
    • Sentido Numérico para la Educación Primaria con PhET: University of Colorado Boulder
    • 현대 로봇공학, 강좌 1: 로봇 동작의 기초: Northwestern University
    • Nouvelles approches pour mesurer la santé de la population: Johns Hopkins University
    • KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS: Koç University
    • Thermodynamics and Phase Equilibria: Korea Advanced Institute of Science and Technology(KAIST)
    • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
    • Exploration et production de données pour les entreprises: University of Illinois Urbana-Champaign
    • Preparar Atividades PhET para Educação STEM: University of Colorado Boulder

    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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