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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: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data-Oriented Python Programming and Debugging

      Skills you'll gain: Debugging, NumPy, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Pandas (Python Package), Data Structures, Probability & Statistics, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Program Development, Large Language Modeling, Data Manipulation, Programming Principles, Computer Programming, Python Programming

      Intermediate · Specialization · 3 - 6 Months

    • I

      IIT Roorkee

      Linear Algebra Basics

      Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Advanced Mathematics, Applied Mathematics, Python Programming

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Introduction to Python for Researchers

      Skills you'll gain: Programming Principles, Program Development, Microsoft Visual Studio, Computer Programming, Integrated Development Environments, Python Programming, Debugging, Development Environment

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Starweaver

      Introduction to Engineering Design

      Skills you'll gain: Computer-Aided Design, Engineering Design Process, Product Engineering, Mechanical Design, Ideation, Engineering, Engineering Practices, Design Specifications, Simulation and Simulation Software, Conceptual Design, Prototyping, Innovation, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Managing Uncertainty in Marketing Analytics

      Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      68 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Trigonometría y geometría analítica

      Skills you'll gain: Trigonometry, Geometry, Applied Mathematics, Algebra, Graphing, Systems Of Measurement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • F

      Fundação Lemann

      Explorando os recursos educacionais da Khan Academy

      Skills you'll gain: Learning Management Systems, Blended Learning, Education Software and Technology, Student-Centred Learning, Teaching, Differentiated Instruction, Data Analysis, Instructional Strategies, Mathematics Education, Performance Reporting, Student Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      96 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introducción a las Finanzas Corporativas

      Skills you'll gain: Finance, Capital Budgeting, Financial Modeling, Financial Analysis, Return On Investment, Financial Management, Corporate Finance, Business Mathematics, Cash Flows, Loans, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Data-Oriented Python Programming and Debugging: University of Michigan
    • Linear Algebra Basics: IIT Roorkee
    • Introduction to Python for Researchers: Imperial College London
    • Introduction to Engineering Design : Starweaver
    • Managing Uncertainty in Marketing Analytics: Emory University
    • Control of Nonlinear Spacecraft Attitude Motion: University of Colorado Boulder
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Trigonometría y geometría analítica: Universidad Nacional Autónoma de México
    • Optimization for Decision Making: University of Minnesota
    • Data Analytics Engineering: Probability & Techniques: Northeastern 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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