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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: Bestseller
    Bestseller
    I

    IBM

    IBM Full-Stack JavaScript Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Server Side, Istio, Software Architecture, Node.JS, Application Deployment, Restful API, Database Design, CI/CD, Kubernetes, Cloud-Native Computing, Responsive Web Design, NoSQL, Git (Version Control System), Front-End Web Development, Ajax, Javascript, Azure DevOps, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    Universidad Austral

    Fundamentos de Excel para Negocios

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Analysis, Data Visualization, Data Import/Export, Data Entry, Productivity Software, Presentations, Data Management, Financial Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 3 Months

  • W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Manipulation, Decision Tree Learning, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Mastering Software Development in R

    Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, R (Software), Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Wrangling, Data Visualization, Data Preprocessing, Technical Documentation, Visualization (Computer Graphics), Unit Testing, Object Oriented Programming (OOP), Object Oriented Design

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    IBM JavaScript Backend Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Containerization, Server Side, Istio, Software Architecture, Node.JS, Application Deployment, Restful API, Database Design, Kubernetes, Cloud-Native Computing, Responsive Web Design, Git (Version Control System), Ajax, Grafana, Javascript, Azure DevOps, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • M

    Macquarie University

    Excel Power Tools for Data Analysis

    Skills you'll gain: Power BI, Microsoft Excel, Dashboard Creation, Data Storytelling, Spreadsheet Software, Data Wrangling, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • K

    Knowledge Accelerators

    Excel to Power BI: Data Analysis & Business Intelligence

    Skills you'll gain: Power BI, Data Presentation, Dashboard Creation, Microsoft Excel, Dashboard, Excel Formulas, Business Intelligence Software, Data Modeling, Datamaps, Business Reporting, Data Sharing, Data Entry, Data Analysis, Management Reporting, Geospatial Information and Technology, Data Storytelling, Data-Driven Decision-Making, Analytics, Trend Analysis, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Pennsylvania

    Intro to Data Analytics, SQL, and EDA Using Python

    Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Database Management, Query Languages, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Maximize Productivity With AI Tools

    Skills you'll gain: Google Gemini, Gemini, Google Workspace, Productivity Software, Generative AI, AI literacy, Model Training, AI Enablement, Responsible AI, Operational Efficiency, AI Integrations, Business Workflow Analysis, Google Sheets, Complex Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Geospatial Foundations & Vector Analysis

    Skills you'll gain: GIS Software, Geographic Information Systems, Spatial Data Analysis, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Data Validation, Metadata Management, Data Quality, Verification And Validation, File Management, Package and Software Management, Development Environment, Software Installation

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Learn Microsoft Fabric

    Skills you'll gain: Data Lakes, Real Time Data, Microsoft Azure, Microsoft Power Platform, Security Strategy, Data Infrastructure, Microsoft Copilot, Data Warehousing, Data Architecture, Security Management, Apache Spark, Power BI, Data Integration, Data Governance, Database Development, Security Controls, Data Analysis, Data Modeling, Data Science, Data Validation

    Intermediate · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • IBM Full-Stack JavaScript Developer: IBM
  • Fundamentos de Excel para Negocios: Universidad Austral
  • Data Analysis and Interpretation: Wesleyan University
  • Mastering Software Development in R: Johns Hopkins University
  • IBM JavaScript Backend Developer: IBM
  • Excel Power Tools for Data Analysis: Macquarie University
  • Excel to Power BI: Data Analysis & Business Intelligence: Knowledge Accelerators
  • Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
  • Maximize Productivity With AI Tools: Google
  • Geospatial Foundations & Vector Analysis : Coursera

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