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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
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    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Spacecraft Formation Flying and Control Capstone Project

    Skills you'll gain: Vibrations, Control Systems, Systems Engineering, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Safety Assurance, Torque (Physics)

    Advanced · Course · 1 - 4 Weeks

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    T

    The Hong Kong University of Science and Technology

    General Relativity I: Theoretical Foundations

    Skills you'll gain: Physics, Differential Equations, Linear Algebra, Calculus, electromagnetics, Mathematical Modeling, Advanced Mathematics, Mechanics, Applied Mathematics

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Universal Theories

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Acquisition, Risk, and Estimation

    Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.5
    Rating, 4.5 out of 5 stars
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    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Microsoft Excel حسابات البيانات في

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Processing, Spreadsheet Software, Data Analysis Software, Business Mathematics, Text Mining

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
  • Statistical Methods for Data Science: Ball State University
  • Spacecraft Formation Flying and Control Capstone Project: University of Colorado Boulder
  • General Relativity I: Theoretical Foundations: The Hong Kong University of Science and Technology
  • Deep Neural Network for Beginners Using Python: Packt
  • Universal Theories: University of Colorado Boulder
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Alteryx Advanced: 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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