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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
      N

      Northwestern University

      현대 로봇공학, 강좌 1: 로봇 동작의 기초

      Skills you'll gain: Mathematical Modeling, Engineering, Mechanics, Automation, Torque (Physics), Engineering Analysis, Virtual Environment, Simulation and Simulation Software, Engineering Calculations, Matlab, Applied Mathematics, Linear Algebra, Computer Programming Tools

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      Generative AI: Foundations and Concepts

      Skills you'll gain: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      Institut Mines-Télécom

      Traitement d'images : analyse fréquentielle et multi-échelle

      Skills you'll gain: Image Analysis, Computer Vision, Advanced Mathematics, NumPy, Python Programming, Computer Graphics, Mathematical Modeling, Applied Mathematics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Machine Learning Algorithms, Data Processing, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Practical Methodology and Ethics in AI

      Skills you'll gain: Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Probability Distribution, Social Studies

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Predicting Extreme Climate Behavior with Machine Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Ball State University

      Statistical Methods for Data Science

      Skills you'll gain: Statistical Inference, Probability, Statistics, Statistical Methods, Statistical Modeling, Probability Distribution, Statistical Hypothesis Testing, Bayesian Statistics, Statistical Analysis, Data Science, R Programming, Sampling (Statistics), Simulations, Descriptive Statistics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      I

      Indian Institute of Technology Guwahati

      Essentials of Additive Manufacturing

      Skills you'll gain: Manufacturing Processes, Mechanical Design, Engineering Design Process, Industrial Design, Computer-Aided Design, 3D Modeling, Prototyping, Production Process, Manufacturing and Production, Chemical and Biomedical Engineering, Mechanical Engineering, Systems Architecture, Engineering, Process Control

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Exploration et production de données pour les entreprises

      Skills you'll gain: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, AI Personalization, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis, Graphing

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Build Real-World Websites Using HTML5, CSS3, Sass and more

      Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Responsive Web Design, Hypertext Markup Language (HTML), Web Design and Development, Web Development, Web Design, Front-End Web Development, Cloud Hosting, Typography, Animations

      Intermediate · Course · 1 - 4 Weeks

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    1…565758…59

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

    • 현대 로봇공학, 강좌 1: 로봇 동작의 기초: Northwestern University
    • Generative AI: Foundations and Concepts: Northeastern University
    • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
    • Data Mining for Smart Cities: IIT Roorkee
    • Practical Methodology and Ethics in AI: Johns Hopkins University
    • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
    • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
    • Statistical Methods for Data Science: Ball State University
    • Essentials of Additive Manufacturing: Indian Institute of Technology Guwahati
    • Exploration et production de données pour les entreprises: University of Illinois Urbana-Champaign

    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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