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.
ofrecido por
EIT Digital
Politecnico di Milano
Data Science for Business Innovation
EIT DigitalAcerca de este Curso
11,955 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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
Habilidades que obtendrás
Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
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.
Politecnico di Milano
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers.
Programa - Qué aprenderás en este curso
1 hora para completar
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 hora para completar
3 videos (Total 13 minutos), 2 lecturas, 2 cuestionarios
3 videos
Data-driven Decision Making for Data-centric Organizations2m
What's Big Data? How Does It Relate to Data Science?6m
2 lecturas
Data-driven Decision Making for Data-centric Organizations15m
What's Big Data? How Does It Relate to Data Science?15m
2 ejercicios de práctica
Data-driven Decision Making for Data-centric Organizations3m
Big Data and Data Science10m
2 horas para completar
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 horas para completar
3 videos (Total 16 minutos), 3 lecturas, 3 cuestionarios
3 videos
Machine Learning9m
Solving Problems: Programming vs. Machine Learning3m
3 lecturas
Success Story: Data Science at Netflix30m
Machine Learning slides20m
Solving Problems: Programming vs. Machine Learning10m
3 ejercicios de práctica
Success Story: Data Science at Netflix5m
Machine Learning20m
Solving Problems: Programming vs. Machine Learning30m
3 horas para completar
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 horas para completar
5 videos (Total 25 minutos), 5 lecturas, 5 cuestionarios
5 videos
Classification of User-generated Content to Recommend Restaurants2m
Product Recommendation Using Decision Trees and Random Forests2m
Hiring Employees Using Logistic Regression8m
K-means Clustering6m
5 lecturas
Linear Regression for Product Price Prediction10m
Classification User-generated Content to Recommend Restaurants10m
Product Recommendation Using Decision Trees and Random Forests10m
Hiring Employees Using Logistic Regression10m
Using k-means for Clustering10m
5 ejercicios de práctica
Linear Regression30m
Naive Bayes30m
Decision Trees and Random Forests30m
Logistic Regression30m
K-means Clustering6m
1 hora para completar
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 hora para completar
2 videos (Total 12 minutos), 1 lectura, 1 cuestionario
1 lectura
Data Science Challenges20m
1 ejercicio de práctica
Data Science Challenges30m
Reseñas
Principales reseñas sobre DATA SCIENCE FOR BUSINESS INNOVATION
por GS19 de ene. de 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.
por SP23 de may. de 2020
The knowledge was practical based and interesting; however better application of knowledge in real life would've been a great add-on.
por TG14 de dic. de 2019
There are sometimes language interpretations that make it really hard to pass the quizes.
por FA2 de may. de 2020
The course is perfect, but the Quiz questions are not relatable.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
Is financial aid available?
¿Recibiré crédito universitario por completar el Curso?
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