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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
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Software Design, Flask (Web Framework), Version Control, File Management, Linux, Software Development Methodologies, Software Design Patterns, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python 3 Programming

    Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), File I/O, Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Program Development, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, NumPy, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Jupyter, Data Manipulation, Classification Algorithms, Regression Analysis, Data Structures, Software Installation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Basics

    Skills you'll gain: Debugging, Programming Principles, Program Development, Python Programming, Data Structures, Computer Programming, Computer Graphics, Diagram Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Power BI for Data Science and Analytics

    Skills you'll gain: Data Analysis Expressions (DAX), Data Storytelling, Analytics, Excel Formulas, Predictive Modeling, Anomaly Detection, Python Programming, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Data Science, Mathematical Modeling, Advanced Mathematics, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    924 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Statistical Analysis, Python Programming, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: The Fundamentals

    Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Applied Software Engineering Fundamentals: IBM
  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
  • Python 3 Programming: University of Michigan
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Python Fundamentals and Data Science Essentials: Packt
  • Python Basics: University of Michigan
  • Power BI for Data Science and Analytics: Edureka
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Generative AI for Data Analysts: IBM
  • Machine Learning Foundations: A Case Study Approach: University of Washington

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