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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

    • I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Unstructured Data, Data Cleansing, Scikit Learn (Machine Learning Library), Natural Language Processing, Quality Assurance, Data Validation, Data Pipelines, Machine Learning Algorithms, Data Visualization, Design Thinking, Sampling (Statistics)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      F

      Fundação Lemann

      Explorando os recursos educacionais da Khan Academy

      Skills you'll gain: Learning Management Systems, Blended Learning, Education Software and Technology, Student-Centred Learning, Teaching, Differentiated Instruction, Data Analysis, Instructional Strategies, Mathematics Education, Performance Reporting, Student Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      96 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Introducción a las Finanzas Corporativas

      Skills you'll gain: Finance, Capital Budgeting, Financial Modeling, Financial Analysis, Return On Investment, Financial Management, Corporate Finance, Business Mathematics, Cash Flows, Loans, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning en Español

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Big Data, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      ‏SQL لعلوم البيانات

      Skills you'll gain: SQL, Data Manipulation, Data Analysis, Business Analytics, Query Languages, Databases, Relational Databases, Data Management, Data Modeling, Data Integration

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École normale supérieure

      Approximation Algorithms Part II

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Linear Algebra, Solution Design, Mathematical Modeling, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École Polytechnique

      Optique non-linéaire

      Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Laboratory Equipment, Mathematical Modeling, Differential Equations, Physics, Experimentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Supervised Learning, Regression Analysis, R Programming, Predictive Modeling, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Advanced Analytics, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Explorando os recursos educacionais da Khan Academy: Fundação Lemann
    • Calculus for Engineers: The Hong Kong University of Science and Technology
    • Approximation Algorithms and Linear Programming : University of Colorado Boulder
    • Introducción a las Finanzas Corporativas: University of Pennsylvania
    • Introduction to Computer Vision: University of Colorado Boulder
    • Launching into Machine Learning en Español: Google Cloud
    • Python Fundamentals and Data Science Essentials: Packt
    • ‏SQL لعلوم البيانات: University of California, Davis
    • Approximation Algorithms Part II: École normale supérieure

    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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