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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

    • N

      Nanyang Technological University, Singapore

      Introduction to Complexity Science

      Skills you'll gain: Systems Thinking, Network Analysis, Mathematical Modeling, Simulations, Social Sciences, Applied Mathematics, Policy Analysis, Forecasting, Trend Analysis, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universiteit Leiden

      Population Health: Predictive Analytics

      Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of California, Irvine

      Emergent Phenomena in Science and Everyday Life

      Skills you'll gain: Systems Thinking, Analysis, General Science and Research, Computational Thinking, Biology, Scientific Methods, Mathematical Modeling, Physics, Psychology, Emerging Technologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      151 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Arizona

      Knowing the Universe: History and Philosophy of Astronomy

      Skills you'll gain: Ancient History, Physics, General Science and Research, Mechanics, Physical Science, European History, Science and Research, World History, Scientific Methods, Biology, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Supply Chain Optimization

      Skills you'll gain: Supply Chain Planning, Supply Chain Management, Inventory Management System, Process Optimization, Operations Management, Demand Planning, Resource Allocation, Capacity Management, Microsoft Excel, Cost Reduction, Simulation and Simulation Software, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional de Colombia

      Sistemas difusos

      Skills you'll gain: Mathematical Modeling, Software Systems, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Logical Reasoning, Arithmetic, Algorithms

      5
      Rating, 5 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      Física: Vectores, Trabajo y Energía

      Skills you'll gain: Calculus, Integral Calculus, Mechanics, Applied Mathematics, Visualization (Computer Graphics), Physics, Geometry, Mathematical Modeling, Graphing, Trigonometry, Algebra

      4.2
      Rating, 4.2 out of 5 stars
      ·
      181 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • D

      Dartmouth College

      C Programming: Modular Programming and Memory Management - 3

      Skills you'll gain: C (Programming Language), Computer Architecture, Embedded Software, Computer Engineering, Computer Programming, Program Development, Data Structures, Linux, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      60 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      离散优化算法篇 Solving Algorithms for Discrete Optimization

      Skills you'll gain: Operations Research, Algorithms, Mathematical Modeling, Performance Tuning, Programming Principles, Theoretical Computer Science, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    Discrete Mathematics learners also search

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    1…363738…58

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

    • Introduction to Complexity Science: Nanyang Technological University, Singapore
    • Population Health: Predictive Analytics: Universiteit Leiden
    • Emergent Phenomena in Science and Everyday Life: University of California, Irvine
    • The Total Data Quality Framework: University of Michigan
    • Knowing the Universe: History and Philosophy of Astronomy: University of Arizona
    • Supply Chain Optimization: University of California, Irvine
    • Sistemas difusos: Universidad Nacional de Colombia
    • Física: Vectores, Trabajo y Energía: Tecnológico de Monterrey
    • Exploratory Data Analysis: University of Leeds
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network

    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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