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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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Differentiation Rules

    Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Advanced Mathematics, Mathematical Modeling, Algebra, Derivatives, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    118 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics: In-depth Solutions for Maxwell’s Equations

    Skills you'll gain: electromagnetics, Electrical Engineering, Electrical Systems, Differential Equations, Electronic Components, Advanced Mathematics, Integral Calculus, Physics, Engineering Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    124 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Model Training, Model Evaluation, Matlab, Data Visualization, Data Preprocessing, Model Optimization, Scientific Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Statistical Methods, Mathematical Software, Data Literacy, Statistical Machine Learning, Data Wrangling, Applied Mathematics, Data Validation, Data Quality, Mathematical Modeling, Engineering Analysis, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
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    139 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    U

    Universidad Austral

    Red de sentidos: Arte, educación y procesos creativos

    Skills you'll gain: Education and Training, Curriculum Planning, Art History, Teaching, Instructional and Curriculum Design, Pedagogy, Educational Materials, Aesthetics, Mathematics Education, Curriculum Development, Liberal Arts, Creativity, Creative Thinking, Geometry, Research, Science and Research, Critical Thinking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    139 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Periodic Functions

    Skills you'll gain: Trigonometry, Systems Of Measurement, General Mathematics, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    108 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    128 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Computing Platforms, Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking

    4.1
    Rating, 4.1 out of 5 stars
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    111 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    4.5
    Rating, 4.5 out of 5 stars
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    97 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots

    Skills you'll gain: Robotics, Control Systems, Mechanics, Mechanical Engineering, Mathematical Modeling, Torque (Physics), Engineering Calculations, Applied Mathematics, Linear Algebra, Graphical Tools, Estimation

    4.7
    Rating, 4.7 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    National Taiwan University

    Operations Research (3): Theory

    Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Case Studies, Applied Mathematics, Mathematical Modeling, Machine Learning, Model Optimization, Mathematical Theory & Analysis, Transportation Operations, Business Analytics, Advanced Mathematics, Linear Algebra, Resource Allocation, Classification Algorithms, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    96 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    93 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
  • Electrodynamics: In-depth Solutions for Maxwell’s Equations: Korea Advanced Institute of Science and Technology(KAIST)
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Red de sentidos: Arte, educación y procesos creativos: Universidad Austral
  • Precalculus: Periodic Functions: Johns Hopkins University
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Quantum Computing For Everyone - An Introduction : Fractal Analytics
  • Math behind Moneyball: University of Houston
  • Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots : Northwestern University

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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