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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
      C

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistical Thermodynamics

      Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Simulation and Simulation Software, Simulations, Physical Science, Estimation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      H

      Hebrew University of Jerusalem

      Invitation to Mathematics הזמנה למתמטיקה

      Skills you'll gain: Calculus, Advanced Mathematics, Integral Calculus, Trigonometry, Mathematical Theory & Analysis, Geometry, Algebra, Applied Mathematics, Derivatives

      4.4
      Rating, 4.4 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 3 Months

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      699 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      McMaster University

      Finance for Everyone: Decisions

      Skills you'll gain: Finance, Financial Market, Peer Review, Project Design, Business Mathematics, Market Dynamics, Financial Analysis, Financial Planning, Economics, Return On Investment, Cash Flows, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      865 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Columbia University

      Term-Structure and Credit Derivatives

      Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Financial Modeling, Risk Modeling, Financial Market, Actuarial Science, Mathematical Modeling, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Risk Analysis, Probability, Cash Flows, Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • E

      Emory University

      Math for MBA and GMAT Prep

      Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Algebra, Calculus, Arithmetic

      4.3
      Rating, 4.3 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Calculus, Advanced Mathematics, Trigonometry, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University at Buffalo

      Computer Vision Basics

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Data Processing, Digital Design, Artificial Intelligence, Matlab, Linear Algebra, Algorithms, Calculus, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    Discrete Mathematics learners also search

    Mathematics
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    1…232425…58

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

    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • Statistical Thermodynamics: University of Colorado Boulder
    • Invitation to Mathematics הזמנה למתמטיקה: Hebrew University of Jerusalem
    • Fundamentals of Machine Learning in Finance: New York University
    • Fitting Statistical Models to Data with Python: University of Michigan
    • Finance for Everyone: Decisions: McMaster University
    • Term-Structure and Credit Derivatives : Columbia University
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Math for MBA and GMAT Prep: Emory University

    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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