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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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    Stanford University

    Game Theory II: Advanced Applications

    Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Policy Analysis, Economics, Behavioral Economics, Decision Making, Socioeconomics, Mathematical Theory & Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    651 reviews

    Advanced · Course · 1 - 3 Months

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    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    495 reviews

    Intermediate · Course · 1 - 3 Months

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    Birla Institute of Technology & Science, Pilani

    Algorithm Design: Mastering Computational Problem Solving

    Skills you'll gain: Computer Science, Programming Principles, Problem Solving, Mathematical Theory & Analysis, Problem Management, Scalability

    Beginner · Course · 1 - 3 Months

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    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Mathematical Modeling, Applied Mathematics, Capital Markets, Futures Exchange, Equities, Financial Modeling, Probability, Risk Management, Portfolio Management, Probability Distribution, Cash Flows

    4.7
    Rating, 4.7 out of 5 stars
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    316 reviews

    Intermediate · Course · 1 - 3 Months

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    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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    721 reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Michigan

    Introduction to Time Value of Money (TVM)

    Skills you'll gain: Loans, Finance, Excel Formulas, Microsoft Excel, Depreciation, Cash Management, Financial Management, Financial Analysis, Business Mathematics, Cash Flows, Investments

    4.8
    Rating, 4.8 out of 5 stars
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    962 reviews

    Beginner · Course · 1 - 4 Weeks

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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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    Johns Hopkins University

    Precalculus: Relations and Functions

    Skills you'll gain: Graphing, Data Analysis, R (Software), General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus

    4.7
    Rating, 4.7 out of 5 stars
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    224 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
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    U

    Universitat Pompeu Fabra of Barcelona

    Audio Signal Processing for Music Applications

    Skills you'll gain: Digital Signal Processing, Music, Open Source Technology, Python Programming, Time Series Analysis and Forecasting, NumPy, Mathematical Modeling, Advanced Mathematics

    4.8
    Rating, 4.8 out of 5 stars
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    294 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    451 reviews

    Intermediate · Course · 1 - 3 Months

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    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, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability

    4.5
    Rating, 4.5 out of 5 stars
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    97 reviews

    Beginner · Course · 1 - 3 Months

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    National Taiwan University

    Operations Research (1): Models and Applications

    Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Applied Mathematics, Process Improvement and Optimization, Business Modeling, Industrial Engineering, Operations Management, Resource Allocation, Business Analytics, Inventory Management System, Case Studies, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
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    578 reviews

    Beginner · Course · 1 - 3 Months

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

  • Game Theory II: Advanced Applications: Stanford University
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
  • Introduction to Financial Engineering and Risk Management: Columbia University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Introduction to Time Value of Money (TVM): University of Michigan
  • Semiconductor Devices: University of Colorado Boulder
  • Precalculus: Relations and Functions: Johns Hopkins University
  • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
  • Supervised Machine Learning: Classification: IBM

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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