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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 Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      836 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Predictive Modeling, Statistics, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      516 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      989 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      373 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      4.- El Cálculo - Otros Modelos

      Skills you'll gain: Advanced Mathematics, Calculus, Applied Mathematics, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Graphing, Derivatives, Graphical Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      206 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees and Graphs: Basics

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Analysis, Computational Thinking, Network Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      158 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Mathematical Foundations and Quantum Mechanics Essentials

      Skills you'll gain: Applied Mathematics, Mathematics and Mathematical Modeling, Linear Algebra, Probability, Mathematical Modeling, Computer Science, Algebra, Probability & Statistics, Statistics, Physics, Mechanics, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Spacecraft Dynamics and Control

      Skills you'll gain: Control Systems, Mechanics, Torque (Physics), Vibrations, Linear Algebra, Numerical Analysis, Engineering Calculations, Simulations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Visualization (Computer Graphics), Simulation and Simulation Software, Applied Mathematics, Engineering, Verification And Validation, Advanced Mathematics, Estimation, Matlab

      4.8
      Rating, 4.8 out of 5 stars
      ·
      427 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Mechanics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Structural Analysis, Mechanical Engineering, Calculus, Engineering Calculations, Engineering Analysis, Physical Science, Mathematical Modeling, Algebra, Applied Mathematics, Geometry, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      255 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      Universidad de Palermo

      Matemática Preuniversitaria

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, General Mathematics, Graphing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Design of Experiments

      Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Design Strategies, Probability & Statistics, Data Analysis, Mathematical Modeling, Data Transformation, Descriptive Statistics, Probability Distribution, Statistical Hypothesis Testing, Variance Analysis, Quality Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      360 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Functional Program Design in Scala

      Skills you'll gain: Scala Programming, Software Design, Software Design Patterns, Functional Design, Event-Driven Programming, Java, Programming Principles, Performance Tuning, Data Structures, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Prediction and Control with Function Approximation: University of Alberta
    • Foundations of Marketing Analytics: Emory University
    • Introduction to Applied Cryptography: University of Colorado System
    • Data Processing Using Python: Nanjing University
    • 4.- El Cálculo - Otros Modelos: Tecnológico de Monterrey
    • Trees and Graphs: Basics: University of Colorado Boulder
    • Mathematical Foundations and Quantum Mechanics Essentials: Packt
    • Spacecraft Dynamics and Control: University of Colorado Boulder
    • Introduction to Mechanics: Rice University
    • Matemática Preuniversitaria: Universidad de Palermo

    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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