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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
      P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Mathematical Modeling, Applied Mathematics, Combinatorics, Theoretical Computer Science, Data Structures, Pseudocode, Computational Thinking, Mathematical Theory & Analysis, Numerical Analysis, Graph Theory, Design Strategies, Network Routing, Image Analysis, Bioinformatics, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      基礎光學一 (Introduction to Optics (1))

      Skills you'll gain: Medical Imaging, Engineering, Scientific, and Technical Instruments, Physics, Physical Science, Engineering Calculations, Mathematical Modeling, Applied Mathematics, Biology, Experimentation, Scientific Visualization, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of London

      Statistics and Clustering in Python

      Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Machine Learning Algorithms, Data Manipulation, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      The Basics of Rocket Science

      Skills you'll gain: Engineering, Physics, Mechanical Engineering, Chemical Engineering, Engineering Analysis, Chemistry, Mathematical Modeling, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 3 - 6 Months

    • D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, NumPy, Simulations, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • E

      Emory University

      Managing Uncertainty in Marketing Analytics

      Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      68 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Fundamentals of Scientific Research Under Uncertainty

      Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • S

      S.P. Jain Institute of Management and Research

      Data Analysis

      Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Business Mathematics, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Trigonometría y geometría analítica

      Skills you'll gain: Trigonometry, Geometry, Applied Mathematics, Algebra, Graphing, Systems Of Measurement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Product Cost and Investment Cash Flow Analysis

      Skills you'll gain: Cost Estimation, Cost Management, Financial Modeling, Investment Management, Risk Management, Finance, Spreadsheet Software, Financial Planning, Financial Analysis, Cost Accounting, Business Mathematics, Return On Investment, Cash Flows, Product Management

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 3 Months

    Discrete Mathematics learners also search

    Mathematics
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    Quantum Physics
    Theoretical Computer Science
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    1…414243…59

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

    • 算法设计与分析 Design and Analysis of Algorithms: Peking University
    • 基礎光學一 (Introduction to Optics (1)): National Taiwan University
    • Statistics and Clustering in Python: University of London
    • The Basics of Rocket Science: University of Michigan
    • Data Analytics Engineering: Probability & Techniques: Northeastern University
    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Managing Uncertainty in Marketing Analytics: Emory University
    • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
    • Data Analysis: S.P. Jain Institute of Management and Research

    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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