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Combinatorics Courses

Combinatorics courses can help you learn counting principles, permutations, combinations, and graph theory. You can build skills in problem-solving, algorithm design, and mathematical reasoning, which are crucial for fields like computer science and operations research. Many courses introduce tools such as generating functions and combinatorial algorithms, which are used to solve complex problems in optimization and data analysis.

Popular Combinatorics Courses and Certifications


  • S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Advanced Mathematics, Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Mathematics Education, Deductive Reasoning, General Mathematics, Logical Reasoning

    ★ 4.8 (3K) · Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Honors Algebra 2

    Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Logical Reasoning, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Analytical Skills

    ★ 4.3 (6) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Statistical Methods, Applied Mathematics, Finance, Correlation Analysis

    ★ 4.8 (1.9K) · Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    ★ 4.9 (10) · Beginner · Course · 1 - 3 Months

  • N

    Northeastern University

    Data Analytics Engineering: Probability & Techniques

    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Analytics, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Transformation, Data Structures, Data Cleansing, Programming Principles

    Mixed · Course · 1 - 4 Weeks

  • U

    Universitat Politècnica de València

    Bases Matemáticas: Números y terminología

    Skills you'll gain: Arithmetic, Mathematics and Mathematical Modeling, Mathematical Modeling, General Mathematics, Logical Reasoning, Algebra, Deductive Reasoning, Applied Mathematics

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics

    ★ 4.9 (4.7K) · Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Data Structures and Algorithm Analysis

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming

    ★ 4.4 (31) · Intermediate · Course · 1 - 3 Months

  • U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Computer Programming, Programming Principles, Python Programming, C and C++, Infectious Diseases, Java Programming, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    ★ 4.6 (17K) · Intermediate · Specialization · 3 - 6 Months

  • S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Network Routing, Computational Thinking, Data Structures, Computer Science

    ★ 4.8 (829) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of North Texas

    Math Prep: College & Work Ready

    Skills you'll gain: Arithmetic, Graphing, Geometry, Statistics, Algebra, Descriptive Statistics, General Mathematics, Applied Mathematics, Statistical Visualization

    ★ 4.5 (327) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Accelerated Computer Science Fundamentals

    Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Data Storage, Engineering Software, Unstructured Data, Computer Programming, Software Engineering, Algorithms, Memory Management, Computer Programming Tools, Integrated Development Environments, Debugging, Program Development, Database Systems, Theoretical Computer Science

    ★ 4.7 (3.5K) · Intermediate · Specialization · 1 - 3 Months

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

  • Introduction to Mathematical Thinking: Stanford University
  • Honors Algebra 2: Johns Hopkins University
  • An Intuitive Introduction to Probability: University of Zurich
  • Foundational Mathematics for AI: Johns Hopkins University
  • Data Analytics Engineering: Probability & Techniques: Northeastern University
  • Bases Matemáticas: Números y terminología: Universitat Politècnica de València
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • Foundations of Data Structures and Algorithm Analysis: Packt
  • Data Structures and Algorithms: University of California San Diego
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford 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)

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