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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: Preview
      Preview
      G

      Georgia Institute of Technology

      Introduction to Engineering Mechanics

      Skills you'll gain: Mechanics, Engineering Analysis, Engineering Calculations, Torque (Physics), Engineering, Mechanical Engineering, Civil Engineering, Structural Analysis, Applied Mathematics, Physics, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Managerial Economics and Business Analysis

      Skills you'll gain: Data-Driven Decision-Making, Sampling (Statistics), Business Analytics, Data Analysis, Descriptive Statistics, Banking, Financial Policy, Market Dynamics, Supply And Demand, Statistical Inference, Probability & Statistics, Financial Systems, Bank Regulations, Predictive Analytics, Risk Management, Statistical Analysis, Economics, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.2K reviews

      Beginner · Specialization · 3 - 6 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
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability Distribution, Statistics, Risk Analysis, Probability & Statistics, Financial Trading, Regression Analysis, Statistical Analysis, Data Visualization, Financial Analysis, Financial Data, Time Series Analysis and Forecasting, Financial Modeling, Pandas (Python Package), Market Trend, Python Programming, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Spatial Analysis, Systems Of Measurement, Physical Science, General Science and Research, Mechanics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Statistical Methods, Data Manipulation, NumPy, Statistical Analysis, Data Science, Sampling (Statistics), Probability & Statistics, Unstructured Data, Statistical Hypothesis Testing, Python Programming, Data Cleansing, Data Analysis, Data Import/Export, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 1

      Skills you'll gain: Data Visualization, Probability & Statistics, Data Analysis, Bayesian Statistics, Statistics, Statistical Analysis, Biostatistics, Statistical Methods, Probability, Statistical Inference, Probability Distribution, Statistical Hypothesis Testing, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      520 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Engineering Analysis, Linear Algebra, Electrical Engineering, Engineering Calculations, Mathematical Modeling, Applied Mathematics, Telecommunications, Numerical Analysis, Electronics, Time Series Analysis and Forecasting, Algorithms, Trigonometry, Electronics Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      625 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Engineering Probability and Statistics Part 1

      Skills you'll gain: Exploratory Data Analysis, Probability Distribution, Probability & Statistics, Correlation Analysis, Probability, Bayesian Statistics, Statistical Modeling, Data Analysis, Statistical Analysis, Engineering Analysis, Data-Driven Decision-Making, Descriptive Statistics, Statistical Visualization

      Mixed · 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
      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: Preview
      Preview
      N

      National Taiwan University

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

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      934 reviews

      Beginner · Course · 1 - 3 Months

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

    • Introduction to Engineering Mechanics: Georgia Institute of Technology
    • Managerial Economics and Business Analysis: University of Illinois Urbana-Champaign
    • Number Theory and Cryptography: University of California San Diego
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Understanding Einstein: The Special Theory of Relativity: Stanford University
    • Introduction to Data Science in Python: University of Michigan
    • Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Engineering Probability and Statistics Part 1: Northeastern University
    • Mathematics for Machine Learning: Multivariate Calculus: 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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