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Results for "mathematical+and+computational+science"


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    The Hong Kong University of Science and Technology

    Discrete Mathematical Tools for Computer Science

    Skills you'll gain: Probability, Computational Logic, Combinatorics, Bayesian Statistics, Algorithms, Theoretical Computer Science, Mathematical Software, Mathematical Theory & Analysis, Cryptography, Logical Reasoning, Deductive Reasoning, Computational Thinking, Computer Science, Encryption, Data Structures, Arithmetic, General Mathematics, Public Key Cryptography Standards (PKCS), Problem Solving, Cybersecurity

    Beginner · Specialization · 3 - 6 Months

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    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

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    3.8
    Rating, 3.8 out of 5 stars
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    12 reviews

    Beginner · Specialization · 1 - 3 Months

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    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, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

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    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
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Analysis, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving

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    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Arithmetic, Computational Thinking, Public Key Cryptography Standards (PKCS), Data Structures, Applied Mathematics, Logical Reasoning, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

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    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    N

    National Taiwan University

    Operations Research

    Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Report Writing, Network Model, Applied Mathematics, Process Improvement and Optimization, Business Modeling, Industrial Engineering, Linear Algebra, Numerical Analysis, Operations Management, Applied Machine Learning, Resource Allocation, Case Studies, Engineering Calculations, Algorithms, Feasibility Studies, Project Design, Business Analytics

    4.8
    Rating, 4.8 out of 5 stars
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    727 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science (feat. Data Science Track)

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    Degree · 1 - 4 Years

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    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Dimensionality Reduction, Graphing

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    347 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
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    195 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular mathematical+and+computational+science courses

  • Discrete Mathematical Tools for Computer Science: The Hong Kong University of Science and Technology
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Mathematics for Machine Learning: Imperial College London
  • Essential Mathematics for Computer Science: University of London
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Operations Research: National Taiwan University
  • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
  • Foundational Mathematics for AI: Johns Hopkins University

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