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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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    J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Team Oriented, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Drive Engagement, Classroom Management, Mathematics Education, Learning Management Systems, Creative Problem-Solving, Professional Development, Problem Solving, Project Design

    5
    Rating, 5 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

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    B

    Birla Institute of Technology & Science, Pilani

    Automata and Computability

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Algorithms, Computational Thinking, Programming Principles, Computer Science, Data Structures, Graph Theory, Natural Language Processing, Logical Reasoning, Formal Learning

    Intermediate · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Infectious Disease Modeling in Practice

    Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Statistical Modeling, Predictive Modeling, Health Policy, Forecasting, Model Evaluation, Data Analysis, Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Text Marketing Analytics

    Skills you'll gain: Network Analysis, Unsupervised Learning, Social Network Analysis, Supervised Learning, Unstructured Data, Applied Machine Learning, Marketing Analytics, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Data Analysis, Model Evaluation, Transfer Learning, Predictive Modeling, Semantic Web, JSON, Statistical Methods, Data Manipulation

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
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    15 reviews

    Beginner · Specialization · 3 - 6 Months

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    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    719 reviews

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Arizona

    Knowing the Universe: History and Philosophy of Astronomy

    Skills you'll gain: Ancient History, Physics, Mechanics, Physical Science, Science and Research, World History, Research, Scientific Methods, Chemistry, Biology

    4.7
    Rating, 4.7 out of 5 stars
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    43 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Semiconductor Devices

    Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Systems, Electronic Components, Materials science, Electronic Hardware, Electronics, Electrical and Computer Engineering, Physics, Electronics Engineering, Applied Mathematics, Mathematical Modeling

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    612 reviews

    Advanced · Specialization · 1 - 3 Months

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    T

    The Hong Kong University of Science and Technology

    Social Science Approaches to the Study of Chinese Society Part 1

    Skills you'll gain: Social Sciences, Science and Research, Research Design, Surveys, Qualitative Research, Research, Research Methodologies, Sociology, Political Sciences, Experimentation, Anthropology, Economics

    4.7
    Rating, 4.7 out of 5 stars
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    51 reviews

    Beginner · Course · 1 - 3 Months

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    S

    Stanford University

    Game Theory II: Advanced Applications

    Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    650 reviews

    Advanced · Course · 1 - 3 Months

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    U

    University of Colorado Boulder

    Number Sense for Primary Education with PhET Simulations

    Skills you'll gain: Teaching, Interactive Learning, Pedagogy, Lesson Planning, Mathematics Education, Education Software and Technology, Simulations, Arithmetic, Cultural Responsiveness

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics: An Introduction

    Skills you'll gain: electromagnetics, Electrical Engineering, Electrical Systems, Materials science, Physics, Applied Mathematics, Differential Equations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    630 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Automata and Computability: Birla Institute of Technology & Science, Pilani
  • Infectious Disease Modeling in Practice: Johns Hopkins University
  • Text Marketing Analytics: University of Colorado Boulder
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Knowing the Universe: History and Philosophy of Astronomy: University of Arizona
  • Semiconductor Devices: University of Colorado Boulder
  • Social Science Approaches to the Study of Chinese Society Part 1: The Hong Kong University of Science and Technology
  • Game Theory II: Advanced Applications: Stanford 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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