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  • Mathematical Thinking In Computer Science

Results for "mathematical thinking in computer science"


  • Status: Free Trial
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    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Expressway to Data Science: Essential Math

    Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    473 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Mind and Machine

    Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Probability, Artificial Neural Networks, Mathematical Modeling, Behavioral Economics, Convolutional Neural Networks, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Deep Learning, Theoretical Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    366 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, IBM Cloud, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    912 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript

    Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, Analytics, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Web Applications, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Computer Programming

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    320 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Data Analysis, Statistical Analysis, Artificial Intelligence

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    278 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    743 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular mathematical thinking in computer science courses

  • Algorithms: Stanford University
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning: Imperial College London
  • Expressway to Data Science: Essential Math: University of Colorado Boulder
  • Mind and Machine: University of Colorado Boulder
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Computational Thinking with JavaScript: University of Glasgow
  • Precalculus through Data and Modelling: Johns Hopkins University

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