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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
    H

    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Text Classification for Marketing Analytics

    Skills you'll gain: Unsupervised Learning, Unstructured Data, Text Mining, Applied Machine Learning, Machine Learning Methods, Deep Learning, Marketing Analytics, Machine Learning, JSON, Data Science, Natural Language Processing, Data Processing, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Network Analysis for Marketing Analytics

    Skills you'll gain: Network Analysis, Social Network Analysis, Marketing Analytics, Unstructured Data, Semantic Web, Statistical Methods, Text Mining, Data Structures, JSON, Natural Language Processing, Data Visualization Software, Visualization (Computer Graphics), Python Programming

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Household Surveys for Program Evaluation in LMICs

    Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera Project Network

    RStudio for Six Sigma - Process Capability

    Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Data Analysis, Performance Measurement, Statistical Methods, R (Software), Business Metrics, R Programming, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Regression Analysis, Supervised Learning, Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Recommender Systems

    Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, Data Mining, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de Palermo

    Matemática para Negocios 

    Skills you'll gain: Business Mathematics, Profit and Loss (P&L) Management, Applied Mathematics, Graphing, Financial Analysis, Case Studies, Business Metrics, Business Analysis, Financial Statements, Arithmetic, Algebra

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Simulation of Call Centre Operations Using R Simmer

    Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Nonlinear Kalman Filters (and Parameter Estimation)

    Skills you'll gain: Estimation, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Control Systems, Simulation and Simulation Software, Probability & Statistics, System Implementation, Computer Programming Tools

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

    Intermediate · Course · 1 - 4 Weeks

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

  • Building Regression Models with Linear Algebra: Howard University
  • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Network Analysis for Marketing Analytics: University of Colorado Boulder
  • Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
  • RStudio for Six Sigma - Process Capability: Coursera Project Network
  • Deep Neural Network for Beginners Using Python: Packt
  • Recommender Systems: Sungkyunkwan University
  • Matemática para Negocios : Universidad de Palermo
  • Simulation of Call Centre Operations Using R Simmer: Coursera Project Network
  • Python Fundamentals and Data Science Essentials: Packt

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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