The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.
Offert par
EIT Digital
Politecnico di Milano
Data Science for Business Innovation
EIT DigitalÀ propos de ce cours
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Dates limites flexibles
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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
Certificat partageable
Obtenez un Certificat lorsque vous terminez
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. 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
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
Big Data and Data Science10 min
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 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 Learning30 min
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
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 Regression30 min
Naive Bayes30 min
Decision Trees and Random Forests30 min
Logistic Regression30 min
K-means Clustering6 min
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
1 lecture
Data Science Challenges20 min
1 exercice pour s'entraîner
Data Science Challenges30 min
Avis
Meilleurs avis pour DATA SCIENCE FOR BUSINESS INNOVATION
par GS19 janv. 2020
A very well done course that showcases the main technologies applied in different scenarios. It was a good introduction to the world of applied data science.
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 TG14 déc. 2019
There are sometimes language interpretations that make it really hard to pass the quizes.
par QF21 nov. 2020
Interesting and useful to have an overall overview on this important discipline
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