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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


  • Status: Preview
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    S

    STARWEAVER

    Introduction to Engineering Design

    Skills you'll gain: Computer-Aided Design, Engineering Design Process, Drafting and Engineering Design, Product Engineering, Engineering Software, Ideation, Engineering, Simulation and Simulation Software, Conceptual Design, Sustainable Design, Creativity, Problem Solving, Prototyping, Innovation, Analytical Skills, Automation, Emerging Technologies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    E

    EDUCBA

    Master Unity Game Physics: Apply, Simulate & Transform

    Skills you'll gain: Unity Engine, Torque (Physics), Game Design, Video Game Development, Mechanics, Event-Driven Programming, Animation and Game Design, Simulation and Simulation Software, Simulations, Computer Graphics, Mathematical Modeling, Physics, Scripting, Linear Algebra, Advanced Mathematics, Mathematics and Mathematical Modeling

    5
    Rating, 5 out of 5 stars
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    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Defining, Describing, and Visualizing Data

    Skills you'll gain: Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Plot (Graphics), Probability Distribution, Statistical Software, Statistics, Statistical Visualization, R (Software), Statistical Methods, Data Visualization, Statistical Analysis, Probability, R Programming, Probability & Statistics, Statistical Programming, Descriptive Analytics, Statistical Hypothesis Testing, Data Manipulation

    4.2
    Rating, 4.2 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms

    4.2
    Rating, 4.2 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Failure Analysis, Probability & Statistics, Estimation, Mathematical Modeling, Statistical Inference, Statistical Modeling, Statistical Methods, Markov Model, Reliability, Simulations, Sampling (Statistics), Numerical Analysis, Applied Mathematics, Statistical Analysis, Simulation and Simulation Software

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics of Light and Materials

    Skills you'll gain: Physics, electromagnetics, Materials science, Physical Science, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Applied Mathematics, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Phases of Matter: Solid, Liquid, Gas and Beyond

    Skills you'll gain: Physics, Physical Science, Materials science, Chemistry, Mathematical Modeling, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Tableau Public for Beginners: Data Visualization Basics

    Skills you'll gain: Dashboard, Dashboard Creation, Data Presentation, Tableau Software, Data Visualization Software, Data Literacy, Descriptive Analytics, Data Import/Export

    3.6
    Rating, 3.6 out of 5 stars
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    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Data Analysis, Statistical Reporting, Analytical Skills, Data Analysis Software, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, Research, R (Software), R Programming, Sampling (Statistics), Research Methodologies, Data Collection

    4.9
    Rating, 4.9 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Visualization, Plot (Graphics), Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Statistical Software, Probability & Statistics, Data Literacy, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability

    4.5
    Rating, 4.5 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Engineering Design: STARWEAVER
  • Master Unity Game Physics: Apply, Simulate & Transform: EDUCBA
  • Defining, Describing, and Visualizing Data: University of Colorado Boulder
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Introduction to Neural Networks: Johns Hopkins University
  • Introduction to Uncertainty Quantification: Johns Hopkins University
  • Physics of Light and Materials: Rice University
  • Phases of Matter: Solid, Liquid, Gas and Beyond: University of Colorado Boulder
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Tableau Public for Beginners: Data Visualization Basics: 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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