The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and middle-management to foster data-driven innovation. The course explains what Data Science is and why it is so hyped.
Offert par
EIT Digital
Politecnico di Milano
Data Science for Business Innovation
EIT DigitalÀ propos de ce cours
9 147 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
Approx. 7 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Ce que vous allez apprendre
What is data science
How data science, machine learning, and data-driven innovation can benefit business outcomes
Foundational concepts and intuitions about machine learning techniques
Compétences que vous acquerrez
Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau débutant
Approx. 7 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Offert par
EIT Digital
EIT Digital is a European education and innovation organisation with a mission to foster digital technology innovation and entrepreneurial talent for economic growth and quality of life. By linking education, research and business, EIT Digital empowers digital top talents for the future.
Politecnico di Milano
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers.
Programme du cours : ce que vous apprendrez dans ce cours
1 heure pour terminer
Introduction to Data-driven Business
This module introduces the course and offers some basic overview of the topics. It presents the crucial concepts related to data science and big data and provides an outlook on how to use them in real world settings for increasing business value.
1 heure pour terminer
3 vidéos (Total 13 min), 2 lectures, 2 quiz
2 heures pour terminer
Terminology and Foundational Concepts
In this module, you will learn the foundational concepts of machine learning and data science. You will understand how these techniques can be useful in terms of increased business value for organizations, thanks to the discussion of a very well known success story, namely Netflix, which can be deemed as a completely data-driven business. You will also understand how machine learning is different from programming.
2 heures pour terminer
3 vidéos (Total 16 min), 3 lectures, 3 quiz
3 heures pour terminer
Data Science Methods for Business
In this module, you will learn the concepts and intuitions about the basic approaches for data analysis, including linear regression, naive Bayes, decision trees, clustering, and logistic regression. All the methods are presented starting from typical business uses and are covered in an intuitive way through a guided explanation of how the approach works on simple examples.
3 heures pour terminer
5 vidéos (Total 25 min), 5 lectures, 5 quiz
1 heure pour terminer
Challenges and Conclusions
This module summarizes the concepts learned so far and introduces a set of challenges and risks that data-savvy managers must take into account when deciding for a data-driven strategy.
1 heure pour terminer
2 vidéos (Total 12 min), 1 lecture, 1 quiz
Avis
Meilleurs avis pour DATA SCIENCE FOR BUSINESS INNOVATION
par SP23 mai 2020
The knowledge was practical based and interesting; however better application of knowledge in real life would've been a great add-on.
par CM15 mai 2021
Great course, great content, the quiz questions are tricky which makes it really interesting
par TG14 déc. 2019
There are sometimes language interpretations that make it really hard to pass the quizes.
par NW24 juin 2021
it is very hard on naive bayes quizzes but after a few trial i could pass this course..
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