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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

    • U

      University of Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Linear Algebra, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      221 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 1 - Functions

      Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of London

      International Business Essentials

      Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Leadership and Management, Descriptive Statistics, Team Management, Team Building, Organizational Structure, Data Presentation, Professional Networking, Communication, Organizational Change, Business Mathematics, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, Business Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      1.- El Cálculo - Modelo Lineal

      Skills you'll gain: Arithmetic, Mathematics Education, Mathematical Modeling, Education Software and Technology, Calculus, Applied Mathematics, Mathematical Theory & Analysis, Algebra, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Descriptive Statistics, Statistical Inference, Correlation Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Business and Financial Modeling

      Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Data-Driven Decision-Making, Spreadsheet Software, Google Sheets

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Mathematical Theory & Analysis, Analytical Skills, Probability & Statistics, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      725 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Six Sigma Methodology, Root Cause Analysis, Lean Methodologies, Data Collection, Process Improvement, Quality Improvement, Lean Six Sigma, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    Discrete Mathematics learners also search

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

    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Matrix Methods: University of Minnesota
    • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
    • International Business Essentials: University of London
    • 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Foundational Mathematics for AI: Johns Hopkins University
    • Business and Financial Modeling: University of Pennsylvania
    • Algebra: Elementary to Advanced: Johns Hopkins 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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