À propos de ce cours
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Niveau débutant

Approx. 17 heures pour terminer

Recommandé : 4 weeks of study, 1.5 hours/week...

Anglais

Sous-titres : Anglais

Ce que vous allez apprendre

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    What is data science

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    How data science, machine learning, and data-driven innovation can benefit business outcomes

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    Foundational concepts and intuitions about machine learning techniques

Compétences que vous acquerrez

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Niveau débutant

Approx. 17 heures pour terminer

Recommandé : 4 weeks of study, 1.5 hours/week...

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
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.

...
3 vidéos (Total 13 min), 2 lectures, 2 quiz
3 vidéos
Data-driven Decision Making for Data-centric Organizations2 min
What's Big Data? How Does It Relate to Data Science?6 min
2 lectures
Data-driven Decision Making for Data-centric Organizations15 min
What's Big Data? How Does It Relate to Data Science?15 min
2 exercices pour s'entraîner
Data-driven Decision Making for Data-centric Organizations3 min
What's Big Data? How Does It Relate to Data Science?10 min
Semaine
2
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.

...
3 vidéos (Total 16 min), 3 lectures, 3 quiz
3 vidéos
Machine Learning9 min
Solving Problems: Programming vs. Machine Learning3 min
3 lectures
Success Story: Data Science at Netflix30 min
Machine Learning slides20 min
Solving Problems: Programming vs. Machine Learning10 min
3 exercices pour s'entraîner
Success Story: Data Science at Netflix5 min
Machine Learning20 min
Solving Problems: Programming vs. Machine Learning2 min
Semaine
3
2 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.

...
5 vidéos (Total 25 min), 5 lectures, 5 quiz
5 vidéos
Classification of User-generated Content to Recommend Restaurants2 min
Product Recommendation Using Decision Trees and Random Forests2 min
Hiring Employees Using Logistic Regression8 min
K-means Clustering6 min
5 lectures
Linear Regression for Product Price Prediction10 min
Classification User-generated Content to Recommend Restaurants10 min
Product Recommendation Using Decision Trees and Random Forests10 min
Hiring Employees Using Logistic Regression10 min
Using k-means for Clustering10 min
5 exercices pour s'entraîner
Linear Regression6 min
Analysing User-generated Content to Recommend Restaurants4 min
Learning to Recommend Products Using Decision Trees and Random Forests2 min
Learning to Hire Fresh Graduates Using Logistic Regression6 min
K-means Clustering6 min
Semaine
4
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.

...
2 vidéos (Total 12 min), 1 lecture, 1 quiz
2 vidéos
Conclusions1 min
1 lecture
Data Science Challenges20 min
1 exercice pour s'entraîner
Data Science Challenges2 min

Enseignants

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Enrique Barra

PhD
Departamento de Ingeniería Telemática
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Marco Brambilla

Associate Professor
Politecnico di Milano
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Fabian Garcia Pastor

Head of Professional School
EIT Digital

À propos de EIT Digital

EIT Digital is a pan-European organization whose mission is 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. EIT Digital provides online and blended Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 leading technical universities around Europe. The universities deliver a unique blend of the best of technical excellence and entrepreneurial skills and mindset to digital engineers and entrepreneurs at all stages of their careers. The academic partners support Coursera’s bold vision to enable anyone, anywhere, to transform their lives by accessing the world’s best learning experience. This means that EIT Digital gradually shares parts of its entrepreneurial and academic education programmes to demonstrate its excellence and make it accessible to a much wider audience. EIT Digital’s online education portfolio can be used as part of blended education settings, in both Master and Doctorate programmes, and for professionals as a way to update their knowledge. EIT Digital offers an online programme in 'Internet of Things through Embedded Systems'. Achieving all certificates of the online courses and the specialization provides an opportunity to enroll in the on campus program and get a double degree. Please visit https://www.eitdigital.eu/eit-digital-academy/ ...

À propos de Politecnico di Milano

Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers. From 2014 Politecnico di Milano started the release of several MOOCs, developed by the service for digital learning METID (Methods and Innovative Technologies for Learning), giving everybody the chance to enhance personal skills....

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.