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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
      E

      Edureka

      Applied Data Analytics

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Web Scraping, Probability Distribution, Predictive Modeling, Seaborn, Statistical Visualization, SQL, Plotly, Interactive Data Visualization, Statistical Inference, Pandas (Python Package), Database Management, Data Analysis, Data Presentation, Databases

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Applied Calculus with Python

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

      4.9
      Rating, 4.9 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidade de São Paulo

      Estatística não-paramétrica para a tomada de decisão

      Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Statistical Methods, Data-Driven Decision-Making, Quantitative Research, Statistical Analysis, Decision Making, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      138 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Methods for Solving Problems

      Skills you'll gain: Problem Solving, Computational Thinking, Statistical Modeling, Probability Distribution, Behavioral Economics, Algorithms, Analytical Skills, Psychology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      181 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Predictive Models for Toxic Chemical Releases

      Skills you'll gain: Chemical Engineering, Hazard Communication (HazCom), Safety Assurance, Process Engineering, Engineering Analysis, Pollution Prevention, Environmental Engineering, Engineering Calculations, Risk Analysis, Mathematical Modeling, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      45 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Mécanique de Newton

      Skills you'll gain: Differential Equations, Engineering Analysis, Mechanics, Applied Mathematics, Calculus, Mechanical Engineering, Linear Algebra, Mathematical Modeling, Physics, Geometry, Vibrations, Logical Reasoning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Funciones algebraicas y trascendentes

      Skills you'll gain: Algebra, Mathematical Software, Trigonometry, Mathematical Modeling, General Mathematics, Graphing, Geometry, Arithmetic, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · Course · 1 - 3 Months

    • N

      Nanyang Technological University, Singapore

      Beauty, Form & Function: An Exploration of Symmetry

      Skills you'll gain: Geometry, Design Elements And Principles, Chemistry, Art History, Architectural Design, Physical Science, Biochemistry, Applied Mathematics, Research

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Ethical Issues in Data Science

      Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Implementación de Actividades PhET para la Educación STEM

      Skills you'll gain: Education Software and Technology, Mathematics Education, Simulations, User Feedback

      5
      Rating, 5 out of 5 stars
      ·
      64 reviews

      Intermediate · Course · 1 - 4 Weeks

    Discrete Mathematics learners also search

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

    • Applied Data Analytics: Edureka
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Applied Calculus with Python: Johns Hopkins University
    • Estatística não-paramétrica para a tomada de decisão: Universidade de São Paulo
    • Methods for Solving Problems: University of Colorado Boulder
    • Predictive Models for Toxic Chemical Releases: University of California, Davis
    • Mécanique de Newton: École Polytechnique Fédérale de Lausanne
    • Funciones algebraicas y trascendentes : Universidad Nacional Autónoma de México
    • I/O-efficient algorithms: EIT Digital
    • Beauty, Form & Function: An Exploration of Symmetry: Nanyang Technological University, Singapore

    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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