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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

    • C

      Coursera Project Network

      RStudio for Six Sigma - Process Capability

      Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Probability & Statistics, Statistical Methods, Business Metrics, R Programming, Data Import/Export

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Unsupervised Text Classification for Marketing Analytics

      Skills you'll gain: Unsupervised Learning, Unstructured Data, Text Mining, Machine Learning Methods, Deep Learning, Marketing Analytics, Machine Learning, JSON, Data Science, Natural Language Processing, Data Processing

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Network Analysis for Marketing Analytics

      Skills you'll gain: Network Analysis, Marketing Analytics, Data Science, Unstructured Data, Analytics, Text Mining, Semantic Web, Data Structures, Social Media, Data Visualization Software, Data Visualization, Natural Language Processing, Statistical Methods, Data Processing

      Build toward a degree

      2.8
      Rating, 2.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      Recommender Systems

      Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Requirement Specifications for Autonomous Systems

      Skills you'll gain: Computational Logic, Theoretical Computer Science, System Requirements, Agentic systems, Verification And Validation, Mathematical Modeling, Control Systems, Linear Algebra, Computer Science, Applied Mathematics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Probability & Statistics, Research Design, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      I

      Institut Mines-Télécom

      Traitement d'images : introduction au filtrage

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Computer Programming, Medical Imaging, Mathematical Theory & Analysis, Plot (Graphics), Applied Mathematics, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Universal Theories

      Skills you'll gain: Physics, Semiconductors, Electronic Components, Mathematical Modeling, Advanced Mathematics, Calculus, Applied Mathematics

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Processing and Manipulation

      Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis, Statistical Methods

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Оценка облигаций

      Skills you'll gain: Financial Analysis, Financial Market, Investment Management, Investments, Finance

      Intermediate · Guided Project · Less Than 2 Hours

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

    • RStudio for Six Sigma - Process Capability: Coursera Project Network
    • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Network Analysis for Marketing Analytics: University of Colorado Boulder
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Recommender Systems: Sungkyunkwan University
    • Requirement Specifications for Autonomous Systems: University of Colorado Boulder
    • Muestreo de personas, redes y registros: University of Michigan
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Traitement d'images : introduction au filtrage: Institut Mines-Télécom
    • Universal Theories: University of Colorado Boulder

    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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