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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: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Data Cleansing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Supervised Learning, Predictive Modeling, Google Cloud Platform, Big Data, Regression Analysis, Sampling (Statistics), Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Quantitative Formal Modeling and Worst-Case Performance Analysis

      Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Network Model, Embedded Systems, Graph Theory

      4.4
      Rating, 4.4 out of 5 stars
      ·
      44 reviews

      Mixed · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Mécanique : Solide Indéformable

      Skills you'll gain: Torque (Physics), Mechanics, Engineering Analysis, Engineering Calculations, Vibrations, Applied Mathematics, Physics, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      34 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Physics of Oscillators and Waves

      Skills you'll gain: Mechanics, Physics, Vibrations, Advanced Mathematics, Mathematical Modeling, Differential Equations, Calculus, Trigonometry, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Mécanique du point matériel

      Skills you'll gain: Mechanics, Torque (Physics), Vibrations, Physics, Engineering, Differential Equations, Calculus, Linear Algebra, Mathematical Modeling, Trigonometry, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      40 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Linear Regression

      Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Koç University

      Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

      Skills you'll gain: Calculus, Geometry, Integral Calculus, Linear Algebra, Visualization (Computer Graphics), Applied Mathematics, Advanced Mathematics, Algebra, Derivatives, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      28 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • U

      University of Illinois Urbana-Champaign

      Constructivism and Mathematics, Science, and Technology Education

      Skills you'll gain: Mathematics Education, Education Software and Technology, Research, Science and Research, Qualitative Research, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Equilibrio, ¿por qué se caen las cosas?

      Skills you'll gain: Structural Analysis, Mechanics, Structural Engineering, Torque (Physics), Engineering Analysis, Mathematical Modeling, Engineering Calculations, Civil Engineering, Physics, Applied Mathematics, Schematic Diagrams

      4.5
      Rating, 4.5 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Applied Math for Materials Science and Engineering

      Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, General Mathematics, Mathematical Modeling, Differential Equations, Derivatives

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Mécanique Lagrangienne

      Skills you'll gain: Mechanics, Vibrations, Advanced Mathematics, Physics, Differential Equations, Linear Algebra, Calculus, Mathematical Modeling, Applied Mathematics, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Mixed · Course · 1 - 3 Months

    Discrete Mathematics learners also search

    Mathematics
    Mathematics Projects
    Advanced Mathematics
    Physics
    Quantum
    Quantum Physics
    Theoretical Computer Science
    Quantum Computing
    1…414243…60

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

    • Launching into Machine Learning 日本語版: Google Cloud
    • Quantitative Formal Modeling and Worst-Case Performance Analysis: EIT Digital
    • Mécanique : Solide Indéformable: École Polytechnique Fédérale de Lausanne
    • Physics of Oscillators and Waves: Rice University
    • Mécanique du point matériel: École Polytechnique Fédérale de Lausanne
    • Linear Regression: Illinois Tech
    • Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts: Koç University
    • Whole Class with PhET for STEM Education: University of Colorado Boulder
    • Constructivism and Mathematics, Science, and Technology Education: University of Illinois Urbana-Champaign
    • Equilibrio, ¿por qué se caen las cosas?: Pontificia Universidad Católica de Chile

    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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