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  • Discrete Mathematics

Discrete Mathematics Courses

Discrete Mathematics courses can help you learn logic, set theory, combinatorics, and graph theory. You can build skills in problem-solving, algorithm design, and mathematical reasoning, which are valuable in computer science and cryptography. Many courses introduce tools such as MATLAB or Python for implementing algorithms and visualizing mathematical concepts, allowing you to see how these skills apply in areas like data analysis and network design.


Popular Discrete Mathematics Courses and Certifications


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    P

    Peking University

    电磁学下——恒磁场与时变电磁场

    Skills you'll gain: Electrical Engineering, Physics, Advanced Mathematics, Mechanics, Engineering Analysis, Materials science, Calculus, Differential Equations, Mathematical Modeling, Experimentation

    5
    Rating, 5 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dimensionality Reduction, Feature Engineering, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    M

    MedCerts

    Applied Behavior Analysis (ABA) Introduction

    Skills you'll gain: Applied Behavior Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection

    4.9
    Rating, 4.9 out of 5 stars
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    28 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    The Role of Culture in Teaching English Learners

    Skills you'll gain: Diversity Awareness, Culture, Cultural Responsiveness, Intercultural Competence, Cultural Diversity, Teaching, Instructing, Curriculum Planning, Mathematics Education, Cultural Sensitivity, Education and Training, English Language, Language Learning, Pedagogy, Diversity Equity and Inclusion Initiatives, Student Engagement, Lesson Planning

    4.7
    Rating, 4.7 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    H

    Howard University

    Fundamental Linear Algebra Concepts with Python

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Evolutionary Computation and its Applications

    Skills you'll gain: Engineering Practices, Engineering Calculations, Engineering Analysis, Engineering, Applied Mathematics

    5
    Rating, 5 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Network Architecture, Algorithms, Statistical Methods, Performance Tuning, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic

    Beginner · Course · 1 - 4 Weeks

Searches related to discrete mathematics

discrete mathematics for computer science and engineering
introduction to discrete mathematics for computer science
离散数学概论 discrete mathematics generality
1…505152…64

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

  • 电磁学下——恒磁场与时变电磁场: Peking University
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Applied Behavior Analysis (ABA) Introduction: MedCerts
  • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • The Role of Culture in Teaching English Learners: Rice University
  • Fundamental Linear Algebra Concepts with Python: Howard University
  • Evolutionary Computation and its Applications: University of Glasgow
  • RStudio for Six Sigma - Process Capability: Coursera

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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