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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


  • I

    IIT Guwahati

    Bachelor of Science in Data Science & AI

    Skills you'll gain: Package and Software Management, Time Series Analysis and Forecasting, Cloud Computing Architecture, Linear Algebra, Data Structures, Data Warehousing, Data Visualization, Model Evaluation, Database Management, Database Theory, Algorithms, Deep Learning, Portfolio Management, Social Network Analysis, Oral Comprehension, Java Programming, C (Programming Language), Spreadsheet Software, Matplotlib, Econometrics

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Java Developer

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Responsible AI, Database Design, Responsive Web Design, Docker (Software), Git (Version Control System), Object Oriented Programming (OOP), CI/CD, Restful API, Java Programming, Model Deployment, Engineering Software, Version Control, Database Management, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Program Development, File I/O, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to Java Programming: Java Fundamental Concepts

    Skills you'll gain: Java Programming, Java, Integrated Development Environments, Mobile Development, Computer Programming, Programming Principles, Object Oriented Programming (OOP), Debugging, Data Structures

    4.4
    Rating, 4.4 out of 5 stars
    ·
    177 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Advanced Java Case Studies & TestNG Automation

    Skills you'll gain: Java, Java Programming, Object Oriented Design, Object Oriented Programming (OOP), User Interface (UI) Design, Unit Testing, JUnit, Data Validation, Software Development, Application Design, Development Testing, Application Development, Test Automation, Test Case, Data Modeling, System Design and Implementation, Databases, Software Documentation, Development Environment, Software Testing

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Responsible AI, ChatGPT, Generative AI, Model Deployment, Restful API, Retrieval-Augmented Generation, Vibe coding, Natural Language Processing, Application Deployment, Data Ethics, AI Workflows, Agentic systems, CI/CD, Software Development, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Structures Algorithms in Java – SECRETS to Ace LeetCode

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Java Programming, Object Oriented Design, Computational Thinking, Java, Algorithms, Debugging, Programming Principles, Computer Programming, Pseudocode, Mathematical Theory & Analysis, Integrated Development Environments, Analysis, Solution Design, Analytical Skills

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java FullStack Developer

    Skills you'll gain: Angular, HTML and CSS, Data Structures, Spring Boot, Eclipse (Software), Restful API, Java Programming, Object Oriented Programming (OOP), Model View Controller, Java, Front-End Web Development, Spring Framework, Object Oriented Design, Integrated Development Environments, Javascript, Software Design Patterns, Web Components, Development Environment, Web Applications, Cascading Style Sheets (CSS)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    841 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents in Java with Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, AI Orchestration, OpenAI API, AI Enablement, Java, Java Programming, AI Workflows, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, Tool Calling, Creativity, Document Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Bachelor of Science in Data Science & AI: IIT Guwahati
  • IBM Java Developer: IBM
  • Algorithms, Part I: Princeton University
  • Computer Science: Programming with a Purpose: Princeton University
  • Introduction to Java Programming: Java Fundamental Concepts: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • Java Programming and Software Engineering Fundamentals: Duke University
  • Apply Advanced Java Case Studies & TestNG Automation: EDUCBA
  • Generative AI for Java and Spring Developers: IBM
  • Data Structures Algorithms in Java – SECRETS to Ace LeetCode: Packt

Frequently Asked Questions about Data Science

Data science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It plays a crucial role in decision-making across various industries, helping organizations to understand trends, predict outcomes, and optimize processes. In today's data-driven world, the ability to analyze and interpret data is essential for businesses to remain competitive and innovative.‎

A career in data science can lead to various roles, including data analyst, data engineer, machine learning engineer, and data scientist. These positions are in high demand across sectors such as finance, healthcare, technology, and marketing. Each role focuses on different aspects of data, from data collection and cleaning to advanced analytics and predictive modeling, offering diverse opportunities for professionals.‎

To pursue a career in data science, you should develop a strong foundation in several key skills. These include programming languages like Python and R, statistical analysis, data visualization, and machine learning. Familiarity with databases and tools such as SQL and Tableau is also beneficial. Additionally, soft skills like problem-solving, critical thinking, and effective communication are essential for translating data insights into actionable strategies.‎

There are numerous online courses available for learning data science. Some of the best options include the IBM Data Science Professional Certificate, which covers essential skills and tools, and the Applied Data Science Specialization, which focuses on practical applications. These courses provide a structured learning path and hands-on experience to help you build your data science expertise.‎

Yes. You can start learning data science on Coursera for free in two ways:

  1. Preview the first module of many data science courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data science effectively, start by identifying your learning goals and the specific skills you want to acquire. Begin with foundational courses that cover basic concepts and gradually progress to more advanced topics. Engage in hands-on projects to apply your knowledge, and consider joining online communities or study groups to enhance your learning experience. Consistent practice and real-world application are key to mastering data science.‎

Data science courses typically cover a range of topics, including data manipulation, statistical analysis, machine learning, data visualization, and big data technologies. You may also encounter specialized subjects such as natural language processing, data ethics, and data engineering. This comprehensive curriculum prepares you to tackle various challenges in the field and equips you with the skills needed to analyze complex datasets.‎

For training and upskilling employees in data science, programs like the CertNexus Certified Data Science Practitioner Professional Certificate and the Fractal Data Science Professional Certificate are excellent choices. These courses are designed to enhance practical skills and provide a solid foundation in data science, making them suitable for workforce development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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