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Cours en Data Science

Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.

Cours et certificats populaires en Data Science


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
    ·
    79 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Science, Machine Learning Algorithms, Data Analysis Software, Statistical Methods, Histogram, Data Processing, Numerical Analysis, Data Import/Export, Linear Algebra, Probability Distribution, Classification Algorithms

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Advanced Calculus

    Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Trigonometry, Mathematical Modeling, Linear Algebra, Physics, Numerical Analysis, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    179 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Quantum Mechanics

    Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Advanced Mathematics, Mathematical Modeling, Differential Equations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
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    92 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Robotics, Model Training, Machine Learning Algorithms, Model Evaluation, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    587 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 3: Analog vs Digital

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Electronics, Telecommunications, Linear Algebra, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
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    96 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Computing Platforms, Cloud Computing, Information Technology, Cybersecurity, Theoretical Computer Science, Linear Algebra, Critical Thinking

    4.1
    Rating, 4.1 out of 5 stars
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    114 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Numerical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Processing, Statistical Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Applied Mathematics in Bioengineering

    Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Dimensionality Reduction, Statistics, Probability & Statistics, Linear Algebra, Statistical Inference, Digital Signal Processing, Biological Engineering, Image Analysis, Experimentation, Biomedical Engineering, Applied Mathematics, Regression Analysis, Feature Engineering, Unsupervised Learning, Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data science courses

  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Introduction to Advanced Calculus: The University of Sydney
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Foundations of Quantum Mechanics: University of Colorado Boulder
  • Visual Perception for Self-Driving Cars: University of Toronto
  • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
  • Quantum Computing For Everyone - An Introduction: Fractal Analytics
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh

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