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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
      Free
      U

      Universidad de los Andes

      Aprendizaje de las matemáticas de primaria

      Skills you'll gain: Mathematics Education, Arithmetic, Geometry, Systems Of Measurement, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      496 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      离散优化建模高阶篇 Advanced Modeling for Discrete Optimization

      Skills you'll gain: Mathematical Modeling, Operations Research, Debugging, Computational Logic, Applied Mathematics, Performance Tuning, Algorithms, Geometry

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Minnesota

      Optimization for Decision Making

      Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Business Intelligence, Microsoft Excel, Solution Design, Decision Making, Linear Algebra, Resource Allocation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Physics of Waves and Optics

      Skills you'll gain: Physics, Mechanics, Engineering Calculations, Vibrations, Applied Mathematics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Differential Equations, Linear Algebra, Calculus, Integral Calculus

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Engineering Management, Data-Driven Decision-Making, Data Literacy, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Estimation, Data Analysis, Sample Size Determination, Correlation Analysis, Data Visualization, Statistical Software, Statistical Methods, Statistical Analysis, Leadership and Management, Technical Management, Statistical Visualization, Statistics, Leadership

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 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 Colorado Boulder

      Mind and Machine

      Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Statistical Modeling, Probability Distribution, Behavioral Economics, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Human Factors, Theoretical Computer Science, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      359 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Control of Nonlinear Spacecraft Attitude Motion

      Skills you'll gain: Control Systems, Vibrations, Torque (Physics), Mathematical Modeling, Differential Equations, Simulation and Simulation Software, Applied Mathematics, Engineering Analysis, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      68 reviews

      Advanced · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: In-depth Solutions for Maxwell’s Equations

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Electrical Systems, Differential Equations, Electronic Components, Advanced Mathematics, Integral Calculus, Electronics, Applied Mathematics, Physics, Mathematical Modeling, Engineering Analysis, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Dartmouth College

      Engineering of Structures: Tension

      Skills you'll gain: Structural Engineering, Structural Analysis, Construction, Civil Engineering, Architectural Engineering, Engineering Analysis, Engineering Design Process, Mechanics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Aprendizaje de las matemáticas de primaria: Universidad de los Andes
    • 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
    • Optimization for Decision Making: University of Minnesota
    • Physics of Waves and Optics: Rice University
    • Dealing With Missing Data: University of Maryland, College Park
    • The Data Driven Manager: University of Colorado Boulder
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Measurement Systems Analysis: University of Colorado Boulder
    • Mind and Machine: University of Colorado Boulder
    • Control of Nonlinear Spacecraft Attitude Motion: 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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