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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


  • J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Literacy, Organizational Effectiveness, Project Design, Statistics, Machine Learning

    Mixed · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Generative Model Architectures, Deep Learning, Tensorflow, Unsupervised Learning, Model Training, Dimensionality Reduction

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Create Model-driven Power App for Rental Company

    Skills you'll gain: Microsoft Power Platform, Process Modeling, Data Store, Database Development, Database Application, No-Code Development, Standard Operating Procedure, Process Design, Business Process, Workflow Management, Process Management, Microsoft 365, Data Modeling

    3.6
    Rating, 3.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    Università di Napoli Federico II

    Comparative Research Designs and Methods

    Skills you'll gain: Research Methodologies, Qualitative Research, Research Design, Research, Social Sciences, Case Studies, Scientific Methods, Policy Analysis, Sociology, Statistical Analysis, Computational Logic, Regression Analysis, Political Sciences, Statistical Hypothesis Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Oracle PLSQL 21c: Apply, Analyze & Build Programs

    Skills you'll gain: PL/SQL, Oracle Databases, SQL, Stored Procedure, Computational Thinking, Computational Logic, Programming Principles, Code Reusability, Business Logic, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Charts, Pictures, Themes, and Styles in Microsoft Excel

    Skills you'll gain: Microsoft Excel, Data Visualization, Spreadsheet Software, Microsoft Office, Microsoft 365, Productivity Software, User Accounts

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    Infosec

    CompTIA Project+

    Skills you'll gain: Stakeholder Engagement, Project Schedules, Stakeholder Management, Information Technology, Project Risk Management, Environmental Social And Corporate Governance (ESG), IT Management, Scheduling, Vendor Management, Procurement, Purchasing, Vendor Relationship Management, Project Management, Stakeholder Communications, Issue Tracking, Project Management Life Cycle, Risk Management, Project Planning, Quality Management, Performance Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Data Analysis with Pivot Tables: Build & Automate

    Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Spreadsheet Software, Excel Macros, Data Presentation, Data Analysis, Data Visualization Software, Data Security, Data Integrity, Automation

    5
    Rating, 5 out of 5 stars
    ·
    30 reviews

    Mixed · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Backend Development: Node.js, Express, MongoDB & REST APIs

    Skills you'll gain: Node.JS, Server Side, MongoDB, Back-End Web Development, Restful API, Full-Stack Web Development, Web Applications, Database Development, Frontend Integration, Web Development, JavaScript Frameworks, Database Management, Secure Coding, Application Programming Interface (API), Software Architecture, NoSQL, API Design, Authentications, Performance Tuning, Authorization (Computing)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Create Model-driven Power App for Rental Company: Coursera
  • Comparative Research Designs and Methods: Università di Napoli Federico II
  • AI Driven Machine Learning with Python: EDUCBA
  • Machine Learning Essentials: University of Pennsylvania
  • Oracle PLSQL 21c: Apply, Analyze & Build Programs: EDUCBA
  • Charts, Pictures, Themes, and Styles in Microsoft Excel: Coursera
  • CompTIA Project+: Infosec

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