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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.


More to explore:

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: 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, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Database Design, 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, Social Network Analysis, Deep Learning, Portfolio Management, 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

  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

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

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Huddersfield

    BSc Data Science

    Skills you'll gain: Linear Algebra, Computational Logic, Graph Theory, Statistical Software, Theoretical Computer Science, Integral Calculus, Matplotlib, Data Structures, Calculus, R Programming, Logical Reasoning, Differential Equations, Data Visualization Software, Applied Mathematics, Bayesian Statistics, Advanced Mathematics, Python Programming, Data Analysis, Mathematical Modeling, Numerical Analysis

    Earn a degree

    Degree · 1 - 4 Years

What brings you to Coursera today?

  • 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

  • The Google AI Certificate that powers your career

    Enroll now
  • U

    University of London

    Master of Science in Cyber Security

    Skills you'll gain: Security Management, Human Factors (Security), Information Privacy, Key Management, Cyber Governance, Application Security, Infrastructure Security, Threat Modeling, OSI Models, Security Testing, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, Cryptography, ISO/IEC 27001, Network Security, Malware Protection, Incident Management, Statistical Analysis, Cyber Security Strategy

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

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    International Foundation Programme for Computer Science (IFP)

    Skills you'll gain: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Business Administration

    Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Process Mapping, Statistical Methods, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Training and Development, Virtual Teams, Databases, Cost Accounting, International Finance, Research, Team Management, Economic Development, Cultural Diversity

    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?

1234

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 Science in Data Science (Statistics): University of Leeds
  • BSc Data Science: University of Huddersfield
  • Master of Data Science: Illinois Institute of Technology
  • Master of Science in Cyber Security: University of London
  • Bachelor of Science in Computer Science: University of London
  • International Foundation Programme for Computer Science (IFP): 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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