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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, New Product Development, Sustainability Reporting, Model Based Systems Engineering, Model Evaluation, Generative AI, Agile Project Management, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Failure Analysis, Data Ethics, Goal Setting, Database Design, Data Visualization

    Degree · 1 - 4 Years

  • U

    University of Huddersfield

    BSc Data Science

    Skills you'll gain: Data Literacy, Linear Algebra, Graph Theory, Statistical Software, Big Data, Computational Logic, Integral Calculus, Analytics, Matplotlib, Data Visualization, Probability & Statistics, Plot (Graphics), Calculus, Scatter Plots, Data Presentation, Descriptive Statistics, Relational Databases, Database Application, Advanced Analytics, Numerical Analysis

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Computer Science

    Skills you'll gain: Virtual Reality, Natural Language Processing, Model Evaluation, Governance Risk Management and Compliance, Unit Testing, Server Side, Theoretical Computer Science, Mobile Development, Operating Systems, Human Computer Interaction, Game Design, Computer Graphics, Technical Communication, Graph Theory, Django (Web Framework), Database Design, Requirements Elicitation, Computational Thinking, Internet Of Things, Generative AI

    Degree · 1 - 4 Years

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  • U

    University of Pittsburgh

    Master of Data Science

    Skills you'll gain: LLM Application, Predictive Modeling, Bayesian Statistics, Large Language Modeling, Data Ethics, Data Visualization, Database Management, Generative AI, Database Design, SQL, Dimensionality Reduction, Database Theory, Web Services, Database Systems, Databases, Data Visualization Software, Retrieval-Augmented Generation, Unsupervised Learning, Linear Algebra, Technical Communication

    Degree · 1 - 4 Years

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  • U

    University of Leeds

    Master of Science in Data Science (Statistics)

    Skills you'll gain: Data Ethics, Bayesian Statistics, Data Storytelling, Social Network Analysis, Data Presentation, Exploratory Data Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Descriptive Statistics, Data Visualization, Statistical Visualization, Machine Learning Methods, Statistical Programming, Web Scraping, Probability Distribution, File I/O, Statistical Modeling, Linear Algebra

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Responsible AI, Software Engineering, Full-Stack Web Development, Graph Theory, Data Wrangling, Statistical Machine Learning, File Systems, Database Systems, Spatial Analysis, Exploratory Data Analysis, Object Oriented Programming (OOP), Theoretical Computer Science, Statistical Hypothesis Testing, SAS (Software), Statistical Methods, Cryptography, Statistical Inference, Artificial Intelligence, Text Mining

    Degree · 1 - 4 Years

  • O

    O.P. Jindal Global University

    MBA Business Analytics

    Skills you'll gain: Design Thinking, Data Visualization, Operations Management, Active Listening, Working Capital, Environmental Social And Corporate Governance (ESG), Sampling (Statistics), Business Strategy, Business Analytics, Interactive Data Visualization, Supervised Learning, Database Management, PySpark, Project Management, Capital Budgeting, Brand Management, Human Resources Management and Planning, Financial Accounting, Business Economics, Predictive Analytics

    Degree · 1 - 4 Years

  • U

    University of London

    Master of Science in Cyber Security

    Skills you'll gain: Cyber Governance, Key Management, Infrastructure Security, Cryptography, Information Privacy, Application Security, ISO/IEC 27001, Human Factors (Security), Network Security, Security Management, OSI Models, Digital Forensics, Cyber Security Policies, Public Key Infrastructure, Malware Protection, Intrusion Detection and Prevention, Authorization (Computing), Cybersecurity, Data Collection, Research Methodologies

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Computer Science

    Skills you'll gain: Data Ethics, Responsible AI, Software Engineering, Full-Stack Web Development, Graph Theory, Data Wrangling, Statistical Machine Learning, File Systems, Database Systems, Spatial Analysis, Exploratory Data Analysis, Object Oriented Programming (OOP), Theoretical Computer Science, SAS (Software), Statistical Methods, Cryptography, Statistical Inference, Artificial Intelligence, Text Mining, Financial Data

    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, Databases, Database Application, Database Management, Database Theory, Data Analysis, NoSQL, Database Management Systems, Database Development, Machine Learning Algorithms, SQL, Recurrent Neural Networks (RNNs), Bayesian Statistics, Statistical Inference, Technical Communication, Model Evaluation

    Degree · 1 - 4 Years

1234

Best Data Science courses from University of London

Top-rated Data Science courses offered by University of London on Coursera.

  1. 1
    Bachelor of Science in Computer Science
    University of London1 - 4 YearsUniversity of London
  2. 2
    Master of Science in Cyber Security
    University of London1 - 4 YearsUniversity 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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