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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.


More to explore:

Cours et certificats populaires en Data Science


  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Visualization with Python

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Geospatial Information and Technology, Histogram, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Mathematical Software, Computational Logic, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    106 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, 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: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Data Science in Stratified Healthcare and Precision Medicine

    Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Biomedical Technology, Big Data, Data Science, Data Ethics, Health Informatics, Statistical Modeling, Machine Learning, Natural Language Processing, Data Integration, Network Analysis, Graph Theory, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    233K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    734 reviews

    Beginner · Course · 1 - 3 Months

1…678…77

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

  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Data Visualization with Python: IBM
  • Google Data Analysis with Python: Google
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
  • Applied Machine Learning in Python: University of Michigan
  • Programming for Everybody (Getting Started with Python): University of Michigan

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