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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
      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

    • Status: Free
      Free
      P

      Peking University

      医学统计学与SPSS软件(基础篇)

      Skills you'll gain: Statistical Hypothesis Testing, SPSS, Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Regression Analysis, Probability & Statistics, Statistical Inference, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      152 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Statistical Analysis Fundamentals using Excel

      Skills you'll gain: Descriptive Statistics, Regression Analysis, Forecasting, Probability Distribution, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Dynamical Modeling Methods for Systems Biology

      Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Molecular Biology, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Electrical Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      220 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Data Analysis, Sample Size Determination, Risk Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      133 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of London

      Problems, Algorithms and Flowcharts

      Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Program Development

      4
      Rating, 4 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Fundamentals of Macroscopic and Microscopic Thermodynamics

      Skills you'll gain: Statistical Methods, Physics, Probability Distribution, Physical Science, Chemistry, Engineering Calculations, Calculus

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      K

      Koç University

      Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

      Skills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Geneva

      Physique des particules - une introduction

      Skills you'll gain: Physics, Engineering, Scientific, and Technical Instruments, Physical Science, Radiation Protection, Laboratory Equipment, Laboratory Experience, Mechanics, Semiconductors, Calculus, Experimentation, Applied Mathematics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      83 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Financial Risk Management with R

      Skills you'll gain: Financial Market, Risk Management, Risk Analysis, Market Data, R Programming, Financial Data, Probability Distribution, Financial Analysis, Portfolio Management, Financial Modeling, Securities (Finance), Time Series Analysis and Forecasting, Statistical Modeling, Statistical Methods

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics II: Quantum Mechanics and Atoms

      Skills you'll gain: Physics, Laboratory Experience, Experimentation, Advanced Mathematics, Physical Science, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 4 Weeks

    Discrete Mathematics learners also search

    Mathematics
    Mathematics Projects
    Advanced Mathematics
    Physics
    Quantum
    Quantum Physics
    Theoretical Computer Science
    Quantum Computing
    1…303132…58

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

    • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
    • 医学统计学与SPSS软件(基础篇): Peking University
    • Data Science as a Field: University of Colorado Boulder
    • Statistical Analysis Fundamentals using Excel: IBM
    • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
    • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
    • Problems, Algorithms and Flowcharts: University of London
    • Fundamentals of Macroscopic and Microscopic Thermodynamics: University of Colorado Boulder
    • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
    • Physique des particules - une introduction: University of Geneva

    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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