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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
      J

      Johns Hopkins University

      Household Surveys for Program Evaluation in LMICs

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Data Quality, Research Design, Sample Size Determination, Data Presentation, Interviewing Skills, Data Ethics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Analysis and Interpretation of Large-Scale Programs

      Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Maternal Health, Data Quality, Research Design

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Исследование и генерация данных для принятия бизн.-реш.

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Acquisition, Risk, and Estimation

      Skills you'll gain: Sampling (Statistics), Engineering Management, Estimation, Sample Size Determination, Statistical Methods, Leadership and Management, Technical Management, Statistical Software, Statistics, Leadership, Quantitative Research, Data Analysis, Data-Driven Decision-Making, Analytics, Statistical Analysis, Cost Estimation, Data Analysis Software, Statistical Hypothesis Testing, Risk Analysis, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Cómo combinar y analizar datos complejos

      Skills you'll gain: Data Integration, Data Synthesis, Data Ethics, R Programming, Statistical Software, Analytical Skills, Data Analysis Software, Statistical Methods, Statistical Programming, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Probability & Statistics, Descriptive Statistics, Information Privacy

      Mixed · Course · 1 - 4 Weeks

    • D

      Duke University

      Inferenzstatistik

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Particle Filters (and Navigation)

      Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Algorithms, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx Advanced

      Skills you'll gain: Alteryx, Data Cleansing, Data Manipulation, Advanced Analytics, Data Wrangling, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Data Pipelines, Feature Engineering, Sampling (Statistics), Data Mining, Data Integration, Workflow Management, Complex Problem Solving

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Time, Change, and Decisions for Marketing

      Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Marketing Effectiveness, Forecasting, Marketing Strategies, Strategic Decision-Making, Time Series Analysis and Forecasting, Trend Analysis, Statistical Modeling, Simulation and Simulation Software, Predictive Analytics, Customer Analysis, Customer Engagement, Bayesian Statistics, Customer Retention, Reinforcement Learning, Probability Distribution

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modeling Climate Anomalies with Statistical Analysis

      Skills you'll gain: Matplotlib, Pandas (Python Package), Statistical Analysis, Data Science, Data Analysis, NumPy, Statistical Modeling, Time Series Analysis and Forecasting, Regression Analysis, Data Integration, Data Manipulation, Application Programming Interface (API)

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

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

    • Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
    • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
    • Исследование и генерация данных для принятия бизн.-реш.: University of Illinois Urbana-Champaign
    • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
    • Cómo combinar y analizar datos complejos: University of Maryland, College Park
    • Inferenzstatistik: Duke University
    • Bayesian Computational Statistics: Illinois Tech
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Particle Filters (and Navigation): University of Colorado System
    • Alteryx Advanced: Packt

    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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