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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

    • U

      University of Colorado Boulder

      Text Marketing Analytics

      Skills you'll gain: Network Analysis, Unsupervised Learning, Supervised Learning, Unstructured Data, Marketing Analytics, Machine Learning, Deep Learning, Jupyter, Machine Learning Algorithms, Tensorflow, Text Mining, Machine Learning Methods, Scikit Learn (Machine Learning Library), Python Programming, Data Science, Analytics, Applied Machine Learning, Marketing, Semantic Web, Data Structures

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      The Physics of Emergence: Introduction to Condensed Matter

      Skills you'll gain: Physics, Physical Science, Semiconductors, Algebra, Electronic Components, Advanced Mathematics, Mathematical Modeling, Simulations, Calculus, Science and Research, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Universidad de los Andes

      Educación Matemática para profesores de infantil. Curso 2

      Skills you'll gain: Mathematics Education, Arithmetic, Systems Of Measurement, Geometry, Logical Reasoning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      إنشاء المخططات و لوحات المعلومات باستخدام Microsoft Excel

      Skills you'll gain: Dashboard, Data Visualization, Microsoft Excel, Spreadsheet Software, Business Reporting, Business Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • H

      Howard University

      Fundamental Linear Algebra Concepts with Python

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Electrical Characterization: Diodes

      Skills you'll gain: Semiconductors, Electronic Components, Electronics, Basic Electrical Systems, Electrical Engineering, Manufacturing Processes, Process Control, Laboratory Equipment, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Machine Learning Algorithms, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      U

      Universidad de Palermo

      Matemática para Negocios 

      Skills you'll gain: Business Mathematics, Profit and Loss (P&L) Management, Applied Mathematics, Income Statement, Graphing, Financial Analysis, Business Metrics, Business Analysis, Financial Statements, Business Modeling, Arithmetic, Algebra

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Modeling of Autonomous Systems

      Skills you'll gain: Mathematical Modeling, Systems Design, Software Systems, Simulations, Control Systems, Systems Analysis, Mechanical Engineering, Applied Mathematics, Differential Equations, Verification And Validation

      Build toward a degree

      3.7
      Rating, 3.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    Discrete Mathematics learners also search

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    1…484950…59

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

    • Text Marketing Analytics: University of Colorado Boulder
    • The Physics of Emergence: Introduction to Condensed Matter: University of Colorado Boulder
    • Educación Matemática para profesores de infantil. Curso 2: Universidad de los Andes
    • Random Processes: Johns Hopkins University
    • How to Describe Data: University of Michigan
    • إنشاء المخططات و لوحات المعلومات باستخدام Microsoft Excel: Coursera Project Network
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Fundamental Linear Algebra Concepts with Python: Howard University
    • Electrical Characterization: Diodes: Arizona State University
    • Supervised Text Classification for Marketing Analytics: 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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