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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
      D

      Dartmouth College

      Prescriptive Analytics

      Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Digital Transformation, Predictive Analytics, Advanced Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Business Mathematics, Data Science, Process Analysis, Complex Problem Solving, Python Programming, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      A Turma Toda com Simulações PhET para Educação STEM

      Skills you'll gain: Mathematics Education, Survey Creation, Simulations, Interactive Design, Experimentation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      K

      Koç University

      KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Numerical Analysis, Mathematics Education, Derivatives, Mathematical Theory & Analysis, Advanced Mathematics

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      U

      Universitat Autònoma de Barcelona

      Càlcul en diverses variables

      Skills you'll gain: Calculus, Advanced Mathematics, Geometry, Mathematical Theory & Analysis, Linear Algebra, Derivatives

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

      Skills you'll gain: Applied Machine Learning, Machine Learning Algorithms, Data Quality, Machine Learning, Data Cleansing, Supervised Learning, Exploratory Data Analysis, Google Cloud Platform, Regression Analysis, Big Data, Sampling (Statistics), Performance Tuning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Applied Mathematics, NumPy, Calculus, Numerical Analysis, Advanced Mathematics, Linear Algebra, Data Science, Jupyter, Machine Learning Algorithms, Derivatives, Machine Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning - Italiano

      Skills you'll gain: Applied Machine Learning, Data Quality, Machine Learning Methods, Machine Learning, Data Cleansing, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Exploratory Data Analysis, Predictive Modeling, Performance Tuning, Big Data, Sampling (Statistics), Regression Analysis

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Bachelor of Science in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      International Foundation Programme for Computer Science (IFP)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Data Ethics, Regression Analysis, Unsupervised Learning, Statistical Hypothesis Testing, Correlation Analysis, Statistical Machine Learning, Statistical Visualization, Statistical Methods, Classification And Regression Tree (CART), Exploratory Data Analysis, Planning, Applied Machine Learning, Bayesian Statistics, Dimensionality Reduction, Supervised Learning, Box Plots, Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

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

    • Prescriptive Analytics: Dartmouth College
    • A Turma Toda com Simulações PhET para Educação STEM: University of Colorado Boulder
    • KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS: Koç University
    • Càlcul en diverses variables: Universitat Autònoma de Barcelona
    • Launching into Machine Learning - 한국어: Google Cloud
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Launching into Machine Learning - Italiano: Google Cloud
    • Bachelor of Science in Computer Science: University of London
    • International Foundation Programme for Computer Science (IFP): University of London
    • Master of Science in Data Science (Statistics): University of Leeds

    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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