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Débute 4 June 2026 03:27

Se termine 4 June 2026

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Comprendre les sujets de données

La littératie des données n'est pas seulement pour les spécialistes des données; c'est une compétence fondamentale de la vie dont tout le monde a besoin.
via DataCamp

140 Cours


10 hours

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Amélioration optionnelle disponible

Aperçu

## Unlock the Power of Data in Your Daily Life Data is everywhere, shaping our world in countless ways. Whether you're reading the news, attending a work meeting, or making personal decisions, understanding data is a critical skill for success in the modern era.

In this Track, you'll gain the fundamental knowledge and skills to confidently interpret and work with data, no coding experience required. ## Explore the Fascinating World of Data Science Dive into the exciting field of data science and discover how it's transforming industries and society. You'll learn what data science is, why it matters, and how data is collected, processed, and analyzed.

Additionally, this section will cover real-world applications of data science across various sectors, along with ethical considerations and best practices. ## Demystify Machine Learning and AI Machine learning and artificial intelligence are driving innovation and automation at an unprecedented scale. This section provides a solid understanding of these cutting-edge technologies, including their fundamental principles, how machines learn from data, and the distinction between supervised and unsupervised learning.

You'll also explore practical applications of machine learning in business and daily life, as well as the future of AI and its potential impact on jobs and society. ## Master the Art of Data Visualization Data visualization is a powerful tool for communicating insights and influencing decisions. Learn how to interpret and create compelling visuals that bring data to life, including:

* The principles of effective data visualization design * Common chart types and when to use them * How to spot misleading or deceptive visualizations * Tools and techniques for creating interactive dashboards * Storytelling with data to drive action and change ## Understand the Building Blocks of Data Infrastructure Behind every data-driven solution lies a robust data infrastructure.

Gain insight into the technologies and processes that support data science, such as data engineering, databases, data warehouses, and data lakes. You'll also learn about ETL (Extract, Transform, Load) processes, data pipelines, and big data frameworks like Hadoop and Spark, along with best practices for data quality, security, and governance. ## Empower Yourself with Data Literacy By completing this Track, you'll gain the confidence and skills to:

* Interpret data and make informed decisions in your personal and professional life * Communicate effectively with data professionals and stakeholders * Identify opportunities for data-driven innovation in your organization * Stay current with the latest trends and developments in data science * Lay the foundation for further learning and career growth in data-related fields Whether you're a business professional, a student, or simply a curious individual, this Track will equip you with the essential knowledge and skills to thrive in the data-driven world.

Start your journey today and unlock the power of data!

Programme

  • Comprendre la Science des Données
  • Une introduction à la science des données sans codage requis.
  • Comprendre l’Apprentissage Automatique
  • Une introduction à l'apprentissage automatique sans codage requis.
  • Comprendre la Visualisation des Données
  • Une introduction à la visualisation des données sans codage requis.
  • Comprendre l’Ingénierie des Données
  • Découvrez comment les ingénieurs en données posent les bases qui rendent la science des données possible. Aucun codage requis !
  • Comprendre le Cloud Computing
  • Une introduction sans codage au cloud computing, couvrant les concepts clés, la terminologie et les outils.

Enseigné par

Hadrien Lacroix, Sara Billen, Lis Sulmont, and Richie Cotton


Matières

Data Science