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    • Combinatorics

    Combinatorics Courses Online

    Explore combinatorics for counting, arrangement, and combination problems. Learn to apply combinatorial methods in mathematics and computer science.

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    Explore the Combinatorics Course Catalog

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 4 - Applications

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Engineering Calculations, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      273 reviews

      Mixed · Course · 1 - 3 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Melbourne

      Discrete Optimization

      Skills you'll gain: Operations Research, Combinatorics, Applied Mathematics, Graph Theory, Algorithms, Mathematical Modeling, Computational Thinking, Linear Algebra, Computer Programming, Program Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      768 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Transformation, Data Manipulation, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      4.- El Cálculo - Otros Modelos

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      205 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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      Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 3 - Integration

      Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Engineering Calculations, Advanced Mathematics, Mathematical Modeling, Mathematical Theory & Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      523 reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Analyse numérique pour ingénieurs

      Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Finite Element Methods, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Estimation, Algorithms, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      107 reviews

      Intermediate · Course · 1 - 3 Months

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      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, Theoretical Computer Science, Independent Thinking, Probability, Computational Logic, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, Network Analysis, Computer Programming

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

      Beginner · Specialization · 3 - 6 Months

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      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Data Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      133 reviews

      Mixed · Course · 1 - 4 Weeks

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      Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Álgebra básica

      Skills you'll gain: Algebra, General Mathematics, Arithmetic, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Programming Principles, Computational Logic, Computer Hardware, Java

      4.7
      Rating, 4.7 out of 5 stars
      ·
      687 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular combinatorics courses

    • Calculus: Single Variable Part 4 - Applications: University of Pennsylvania
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Discrete Optimization: The University of Melbourne
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • 4.- El Cálculo - Otros Modelos: Tecnológico de Monterrey
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Calculus: Single Variable Part 3 - Integration: University of Pennsylvania
    • Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne
    • Fundamentals of Computing: Rice University
    • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University

    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 Combinatorics

    Combinatorics is a branch of math that explores counting and possible ways to count items. It includes concepts like enumeration, combination, and permutation of sets. Combinatorics is related to other branches of math, such as graph theory, coding, and probability.‎

    Learning combinatorics teaches more than how to calculate permutations—which on its own is a useful skill. It also helps boost your problem-solving skills. You can practice the process of dissecting a problem, exploring all of the possible solutions to the problem, and considering the best possible outcomes. An understanding of combinatorics can come in handy when you play games of chance, too.‎

    Combinatorics plays a role in many different fields—from software development to medicine—where you can find career opportunities after learning combinatorics. There are opportunities as a math or computer science researcher or algorithm designer. With an understanding of combinatorics, you may choose to work as an analyst and offer consulting services to companies that need help streamlining processes and increasing profit margins.

    Combinatorics is helpful when people and organizations need to examine possible outcomes. Epidemiologists who want to know how a virus spreads through a population may explore possibilities through combinatorics. Investors who need to decide where to invest their money use math models as they make a decision. A transportation company that wants to reduce fuel costs and increase efficiency can turn to combinatorics to examine the best changes to make within the company.‎

    Online courses can help you learn combinatorics by giving you a way to work on material at your own pace. You can slow down, speed up, or review lessons as needed. Best of all, you can work wherever you’re comfortable and have the time to completely focus on the material.‎

    You should have basic arithmetic skills before starting to learn combinatorics. It’s also helpful to have a solid understanding of algebra before taking a combinatorics course. A background in another field of math like graph theory or probability may also be beneficial.‎

    Online Combinatorics courses offer a convenient and flexible way to enhance your knowledge or learn new Combinatorics skills. Choose from a wide range of Combinatorics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Combinatorics, 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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