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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


  • U

    University of Pittsburgh

    Master of Data Science

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Data Visualization, Predictive Modeling, Database Design, Large Language Modeling, Database Management, Databases, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, NoSQL, Data Visualization Software, Linear Algebra, Data Governance, Regression Analysis, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • 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

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science (feat. Data Science Track)

    Earn a degree

    Degree · 1 - 4 Years

  • I

    Illinois Institute of Technology

    Master of Data Science

    Skills you'll gain: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Database Development, SQL, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Database Management Systems, Bayesian Statistics, Statistical Inference, Technical Communication

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Huddersfield

    BSc Data Science

    Skills you'll gain: Linear Algebra, Integral Calculus, Matplotlib, Computational Logic, Calculus, Differential Equations, Theoretical Computer Science, Graph Theory, Data Visualization Software, Python Programming, Numerical Analysis, Applied Mathematics, Data Analysis, Mathematical Modeling, Computational Thinking, Engineering Analysis, Advanced Mathematics, Algorithms, Data Manipulation, Data Science

    Earn a degree

    Degree · 1 - 4 Years

What brings you to Coursera today?

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Data Presentation, Regression Analysis, Web Scraping, Data Storytelling, Social Network Analysis, Statistical Hypothesis Testing, Matplotlib, Bayesian Statistics, Data Analysis, Statistical Machine Learning, Model Evaluation, Exploratory Data Analysis, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Applied Machine Learning, Statistical Modeling, Data Preprocessing, Linear Algebra

    Earn a degree

    Degree · 1 - 4 Years

  • Next level skills. New Year savings.

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  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, Logistic Regression, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Financial Data, Artificial Intelligence, Data Visualization, Natural Language Processing, R Programming

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Computer Science

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Computer Science

    Skills you'll gain: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

    Earn a degree

    Degree · 1 - 4 Years

  • B

    BITS Pilani

    Bachelor of Science in Computer Science

    Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Theoretical Computer Science, Object Oriented Design, Android Development, Database Design, Encryption, Bioinformatics, Feature Engineering, Algorithms, TCP/IP, Operating Systems, Version Control, Java Programming, Data Structures, Model View Controller

    Earn a degree

    Degree · 1 - 4 Years

  • H

    Heriot-Watt University

    MSc Computer Science

    Skills you'll gain: Artificial Intelligence, Graph Theory, Database Development, Database Architecture and Administration, NoSQL, Computational Logic, Java, Object Oriented Programming (OOP), Data Structures, Natural Language Processing, Computer Programming, Algorithms, Program Development, Programming Principles, Combinatorics, Theoretical Computer Science, Big Data, Reinforcement Learning, Computational Thinking, Artificial Neural Networks

    Earn a degree

    Degree · 1 - 4 Years

What brings you to Coursera today?

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

  • Master of Data Science: University of Pittsburgh
  • Master of Science in Data Science: University of Colorado Boulder
  • Bachelor of Science in Data Science & AI: IIT Guwahati
  • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
  • Master of Data Science: Illinois Institute of Technology
  • BSc Data Science: University of Huddersfield
  • Master of Science in Data Science (Statistics): University of Leeds
  • Master of Science in Data Science: Ball State University
  • Master of Science in Computer Science: University of Colorado Boulder
  • Bachelor of Science in Computer Science: University of London

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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