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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 Trial
      Free Trial
      N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      頑想學概率:機率二 (Probability (2))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modelling: Vector Calculus

      Skills you'll gain: Integral Calculus, Calculus, Linear Algebra, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Graphing, Mathematical Modeling, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Aprendizaje de las matemáticas de primaria

      Skills you'll gain: Mathematics Education, Arithmetic, Geometry, Systems Of Measurement, Algebra

      4.9
      Rating, 4.9 out of 5 stars
      ·
      506 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability, Probability Distribution, Risk Analysis, Risk Management, Actuarial Science, Statistics, Mathematical Modeling, Applied Mathematics, Combinatorics, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      173 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Think Again III: How to Reason Inductively

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Probability, Sampling (Statistics), Statistics, Correlation Analysis, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      405 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Matemáticas financieras

      Skills you'll gain: Business Mathematics, Financial Management, Finance, Excel Formulas, Financial Analysis, Loans, Arithmetic, Investments, Cash Flows, Corporate Finance, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Integral Calculus and Numerical Analysis for Data Science

      Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Basic Vibrations

      Skills you'll gain: Vibrations, Mechanics, Mechanical Engineering, Engineering Analysis, Control Systems, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      518 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      764 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Materials Science for Technological Application

      Skills you'll gain: Failure Analysis, Semiconductors, Manufacturing Processes, Mechanical Engineering, Chemical Engineering, Chemistry, Thermal Management, Engineering, Production Process, Laboratory Testing, Physical Science, Physics, Process Engineering, Mechanics, Engineering Analysis, Engineering Calculations, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      178 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Guided Tour of Machine Learning in Finance: New York University
    • 頑想學概率:機率二 (Probability (2)): National Taiwan University
    • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
    • Aprendizaje de las matemáticas de primaria: Universidad de los Andes
    • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
    • Think Again III: How to Reason Inductively: Duke University
    • Genome Sequencing (Bioinformatics II): University of California San Diego
    • Matemáticas financieras: Universidad Nacional Autónoma de México
    • Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
    • Introduction to Basic Vibrations: Korea Advanced Institute of Science and Technology(KAIST)

    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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