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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
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Machine Learning, Statistical Methods, Statistical Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Markov Model, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      User Experience Research and Design

      Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Experience, User Research, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, User Interface (UI), Test Case

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Finance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Logic for Economists

      Skills you'll gain: Computational Logic, Logical Reasoning, Mathematics and Mathematical Modeling, Deductive Reasoning, General Mathematics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      293 reviews

      Advanced · Course · 1 - 3 Months

    • S

      Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      International Business Essentials

      Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Descriptive Statistics, Organizational Structure, Change Management, Data Presentation, Professional Networking, Business Mathematics, Verbal Communication Skills, Team Building, Team Management, Statistics, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, Business Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistics, Scientific Methods, Oral Expression, Correlation Analysis, Interpersonal Communications, Interactive Learning, Learning Strategies, Instructional Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Bayesian Statistics: University of California, Santa Cruz
    • User Experience Research and Design: University of Michigan
    • An Intuitive Introduction to Probability: University of Zurich
    • Logic for Economists: University of Amsterdam
    • Understanding Einstein: The Special Theory of Relativity: Stanford University
    • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
    • Meta Marketing Science Certification Prep: Meta
    • Everyday Excel: University of Colorado Boulder
    • International Business Essentials: University of London
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI

    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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