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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
      É

      École normale supérieure

      Approximation Algorithms Part I

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

    • S

      Starweaver

      Matlab and Simulink Basics

      Skills you'll gain: Matlab, Scientific Visualization, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Numerical Analysis, Integrated Development Environments, Data Structures, Scripting, Computer Programming, Debugging

      4
      Rating, 4 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      Computational Methods in Pricing and Model Calibration

      Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronics Engineering, Electronics, Numerical Analysis, Engineering Analysis, Telecommunications, Linear Algebra, Calculus, Mathematical Modeling, Quantitative Research, Systems Of Measurement, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      196 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Carnegie Mellon University

      Statistical Thermodynamics: Molecules to Machines

      Skills you'll gain: Chemical Engineering, Engineering, Chemical and Biomedical Engineering, Applied Mathematics, Biochemistry, Mechanics, Physics, Molecular, Cellular, and Microbiology, Mathematical Modeling, Physical Science, Probability Distribution

      3.9
      Rating, 3.9 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      D

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: Electric and Magnetic Fields

      Skills you'll gain: Electrical Engineering, Physics, Electrical Systems, Applied Mathematics, Electronic Systems, Mechanics, Energy and Utilities, Engineering Analysis, Differential Equations, Mathematical Modeling, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      230 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 4 - Applications

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 3 Months

    Discrete Mathematics learners also search

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    1…303132…59

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

    • Approximation Algorithms Part I: École normale supérieure
    • Operations Research (3): Theory: National Taiwan University
    • Matlab and Simulink Basics : Starweaver
    • Computational Methods in Pricing and Model Calibration: Columbia University
    • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
    • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
    • Statistical Thermodynamics: Molecules to Machines: Carnegie Mellon University
    • Applied Statistics for Data Analytics: DeepLearning.AI
    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure

    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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