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Débute 4 June 2026 07:24

Se termine 4 June 2026

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Data Science for Business Innovation

Saisissez l'opportunité d'élever votre carrière avec le nano-cours « Data Science for Business Innovation », spécialement conçu pour les cadres et les managers afin d'illuminer le chemin vers l'innovation guidée par les données. Découvrez l'essence de la Data Science, son importance, et la valeur transformatrice qu'elle apporte au paysage des affai.
via Coursera

2868 Cours


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Aperçu

Seize the opportunity to elevate your career with the Data Science for Business Innovation nano-course, specially designed for executives and managers to illuminate the path towards data-driven innovation. Discover the essence of Data Science, its significance, and the transformative value it brings to the business landscape.

Embark on a journey to understand:

  • The potential value generated by Data Science
  • The various problem-solving classes addressable through Data Science
  • The distinctions among descriptive, predictive, and prescriptive analytics
  • The contributions of machine learning and artificial intelligence to Data Science

Diving deeper, the course demystifies the application of supervised, unsupervised, and semi-supervised methods, alongside elucidating the outcomes achievable through classification, clustering, and regression techniques.

It also explores the significance of NoSQL data models and the revolutionary impact of scalable cloud-based computing platforms.

Enhanced with example-driven lectures, the curriculum paints a vivid picture of use cases, success stories, and practical scenarios, laying a solid foundation for those aiming to harness the full potential of data science in their business strategies. For enthusiasts eager to delve deeper into the realm of data science, a follow-up live course is available at https:

//professionalschool.eitdigital.eu/data-science-for-business-innovation.

Offered through Coursera, this nano-course spans across multiple disciplines including Artificial Intelligence, Machine Learning, Supervised Learning, Unsupervised Learning, and Innovation, ensuring a comprehensive learning experience.


Enseigné par

Enrique Barra, Marco Brambilla and Fabián García Pastor


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