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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
      U

      Universidad Austral

      Jugar y Aprender Matemática en aulas heterogéneas

      Skills you'll gain: Mathematics Education, Childhood Education and Development, Geometry, Arithmetic, Pedagogy, General Mathematics, Learning Theory, Discussion Facilitation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      122 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, Predictive Modeling, Advanced Analytics, Probability & Statistics, Data Validation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Banco Interamericano de Desarrollo

      Métodos de educación efectiva

      Skills you'll gain: Childhood Education and Development, Child Development, Student-Centred Learning, Teaching, Diversity Awareness, Pedagogy, Education and Training, Instructional Strategies, Mathematics Education, Human Development, Student Engagement, Human Learning, Parent Communication, Curriculum Development, Adult Education, Professional Development, Socioeconomics, Program Evaluation, Cultural Responsiveness, Working With Children

      4.4
      Rating, 4.4 out of 5 stars
      ·
      21 reviews

      Beginner · Specialization · 1 - 3 Months

    • R

      Rice University

      Physics of Oscillators and Waves

      Skills you'll gain: Mechanics, Physics, Vibrations, Advanced Mathematics, Mathematical Modeling, Differential Equations, Calculus, Trigonometry, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Implementation of PhET Activities for STEM Education

      Skills you'll gain: Mathematics Education, Simulations, User Feedback, Experimentation, Technical Documentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Crystal Structures and Properties of Metals

      Skills you'll gain: Failure Analysis, Semiconductors, Mechanical Engineering, Engineering, Chemistry, Laboratory Testing, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      基礎光學一 (Introduction to Optics (1))

      Skills you'll gain: Medical Imaging, Engineering, Scientific, and Technical Instruments, Physics, Physical Science, Engineering Calculations, Mathematical Modeling, Applied Mathematics, Biology, Experimentation, Scientific Visualization, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Mathematical Modeling, Applied Mathematics, Combinatorics, Theoretical Computer Science, Data Structures, Pseudocode, Computational Thinking, Mathematical Theory & Analysis, Numerical Analysis, Graph Theory, Design Strategies, Network Routing, Image Analysis, Bioinformatics, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of London

      Statistics and Clustering in Python

      Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    Discrete Mathematics learners also search

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    1…404142…58

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

    • Jugar y Aprender Matemática en aulas heterogéneas: Universidad Austral
    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Métodos de educación efectiva: Banco Interamericano de Desarrollo
    • Physics of Oscillators and Waves: Rice University
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Deep Learning with Real-World Projects: Packt
    • Implementation of PhET Activities for STEM Education: University of Colorado Boulder
    • Crystal Structures and Properties of Metals: Arizona State University
    • 基礎光學一 (Introduction to Optics (1)): National Taiwan University
    • 算法设计与分析 Design and Analysis of Algorithms: Peking 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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