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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

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Public Key Cryptography Standards (PKCS), Arithmetic, Encryption, Computer Security, Algorithms, Vulnerability Assessments, Computational Thinking, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      607 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Álgebra básica

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fundamentals of Finance

      Skills you'll gain: Capital Budgeting, Finance, Corporate Finance, Financial Analysis, Return On Investment, Business Valuation, Financial Management, Investments, Cash Flows, Business Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Linear Algebra for ML and Analytics Training

      Skills you'll gain: Linear Algebra, Data Science, Dimensionality Reduction, Data Modeling, Applied Mathematics, Feature Engineering, Mathematical Modeling, Data Analysis, Data Transformation, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      Status: AI skills
      AI skills
      D

      DeepLearning.AI

      Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, System Monitoring, Security Controls, Information Architecture, Natural Language Processing, MLOps (Machine Learning Operations), Query Languages, Semantic Web, Sampling (Statistics), Artificial Intelligence, Databases, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Engineering Probability and Statistics Part 2

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Software Installation, Python Programming, Computational Thinking, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Integral Calculus, Machine Learning Methods, Statistical Analysis, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Artificial Neural Networks, Predictive Modeling, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, Probability & Statistics, NumPy, Statistics, Jupyter, Linear Algebra, Data Science, Python Programming, Machine Learning, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Mathematical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Probability & Statistics, Regression Analysis, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      934 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Computational Logic, Computational Thinking, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Combinatorics, Mathematical Modeling, Algorithms, Applied Mathematics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

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

    • Fundamentals of Reinforcement Learning: University of Alberta
    • Number Theory and Cryptography: University of California San Diego
    • Álgebra básica: Universidad Nacional Autónoma de México
    • Fundamentals of Finance: University of Pennsylvania
    • Linear Algebra for ML and Analytics Training: Simplilearn
    • Retrieval Augmented Generation (RAG): DeepLearning.AI
    • Engineering Probability and Statistics Part 2: Northeastern University
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Mathematics for Machine Learning: PCA: Imperial College London

    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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