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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

    • H

      Howard University

      Linear Algebra for Data Science Using Python

      Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Python Programming, Statistical Modeling, Mathematical Software, Supervised Learning, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Algebra

      4.2
      Rating, 4.2 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Caltech

      Pricing Options with Mathematical Models

      Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Everyday Excel, Part 2

      Skills you'll gain: Regression Analysis, Depreciation, Microsoft Excel, Statistical Modeling, Excel Formulas, Financial Analysis, Cash Flows, Predictive Modeling, Data Management, Financial Modeling, Business Mathematics, Financial Forecasting, Process Optimization, Data Analysis, Complex Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      560 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Kinetics: Studying Spacecraft Motion

      Skills you'll gain: Mechanics, Torque (Physics), Engineering Calculations, Engineering Analysis, Differential Equations, Mathematical Modeling, Engineering, Simulation and Simulation Software, Applied Mathematics, Linear Algebra, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      132 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Microwave engineering and antennas

      Skills you'll gain: Electronics Engineering, Telecommunications, Electrical Engineering, Electronic Systems, Wireless Networks, Engineering Design Process, Simulation and Simulation Software, Engineering Analysis, Computer-Aided Design, Physics, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      140 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Introduction à la théorie de Galois

      Skills you'll gain: Algebra, Linear Algebra, Combinatorics, Arithmetic, Advanced Mathematics, Mathematics and Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      67 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Matemáticas financieras

      Skills you'll gain: Business Mathematics, Financial Management, Finance, Excel Formulas, Financial Analysis, Loans, Arithmetic, Investments, Cash Flows, Corporate Finance, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      頑想學概率:機率二 (Probability (2))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistical Methods, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      433 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Interest Rate Models

      Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      193 reviews

      Advanced · Course · 1 - 3 Months

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

    • Linear Algebra for Data Science Using Python: Howard University
    • Pricing Options with Mathematical Models: Caltech
    • Everyday Excel, Part 2: University of Colorado Boulder
    • Survival Analysis in R for Public Health: Imperial College London
    • Kinetics: Studying Spacecraft Motion: University of Colorado Boulder
    • Microwave engineering and antennas: Eindhoven University of Technology
    • Introduction à la théorie de Galois: École normale supérieure
    • Matemáticas financieras: Universidad Nacional Autónoma de México
    • 頑想學概率:機率二 (Probability (2)): National Taiwan University
    • Statistics for Data Science with Python: IBM

    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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