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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 Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Social Network Analysis, Data Presentation, Statistical Machine Learning, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Data Storytelling, R (Software), Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Data Visualization, Statistical Visualization, Supervised Learning, Network Analysis, Data Preprocessing, Web Scraping, Statistical Modeling, Linear Algebra, Python Programming

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Pittsburgh

    Master of Data Science

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Database Systems, Data Visualization, Predictive Modeling, Database Design, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Data Visualization Software, Unsupervised Learning, Linear Algebra, Model Deployment, Data Governance, Regression Analysis, Applied Machine Learning, Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • I

    Illinois Institute of Technology

    Master of Data Science

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

    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, Social Network Analysis, Time Series Analysis and Forecasting, Cloud Computing Architecture, Linear Algebra, Data Structures, R (Software), Data Warehousing, Database Design, Model Evaluation, Database Management, Algorithms, Java Programming, Deep Learning, Portfolio Management, Oral Comprehension, C (Programming Language), Econometrics, Spreadsheet Software, Matplotlib

    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

What brings you to Coursera today?

  • U

    University of Huddersfield

    BSc Data Science

    Skills you'll gain: Computational Logic, Linear Algebra, Graph Theory, Statistical Software, Integral Calculus, Matplotlib, Probability & Statistics, Statistical Programming, Plot (Graphics), Calculus, R Programming, Logical Reasoning, Algorithms, Differential Equations, Data Processing, Data Visualization Software, Applied Mathematics, General Mathematics, Advanced Mathematics, Mathematical Modeling

    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, Data Transformation, Combinatorics, Database Design, Model Evaluation, Web Development, Generative AI

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Science in Accounting | iMSA

    Skills you'll gain: Business Strategy, Data Visualization, Data Storytelling, Management Accounting, Model Evaluation, Fund Accounting, Operations Management, Organizational Change, Audit Planning, Mergers & Acquisitions, Financial Statement Analysis, Project Closure, Risk Management, Social Determinants Of Health, Revenue Recognition, Entrepreneurship, Data Governance, Financial Auditing, Generative AI, Supply And Demand

    Earn a degree

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Graph Theory, Database Systems, Machine Learning Algorithms, Supervised Learning, Software Development Methodologies, File Systems, Data Visualization, Statistical Hypothesis Testing, Statistical Methods, Spatial Data Analysis, Cryptography, Object Oriented Programming (OOP), SAS (Software), Text Mining, Financial Data, Artificial Intelligence, Predictive Modeling, Statistical Programming, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Business Administration | iMBA

    Skills you'll gain: Business Strategy, Data Visualization, Data Storytelling, Management Accounting, Model Evaluation, Fund Accounting, Operations Management, Organizational Change, Audit Planning, Mergers & Acquisitions, Financial Statement Analysis, Project Closure, Risk Management, Social Determinants Of Health, Revenue Recognition, Entrepreneurship, Data Governance, Financial Auditing, Generative AI, Supply And Demand

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Science in Management | iMSM

    Skills you'll gain: Business Strategy, Data Visualization, Data Storytelling, Management Accounting, Model Evaluation, Fund Accounting, Operations Management, Organizational Change, Audit Planning, Mergers & Acquisitions, Financial Statement Analysis, Project Closure, Risk Management, Social Determinants Of Health, Revenue Recognition, Entrepreneurship, Data Governance, Financial Auditing, Generative AI, Supply And Demand

    Earn a degree

    Degree · 1 - 4 Years

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

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

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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