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.
oferecido por
EIT Digital
Politecnico di Milano
Data Science for Business Innovation
EIT DigitalInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 7 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
O que você vai aprender
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 você terá
- Data Science
- Business Analytics
- Decision-Making
- Data Analysis
- Big Data
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 7 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
oferecido por
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 talent for the future.
Politecnico di Milano
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers.
Programa - O que você aprenderá com este curso
1 hora para concluir
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 concluir
3 vídeos (Total 13 mín.), 2 leituras, 2 testes
2 horas para concluir
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 concluir
3 vídeos (Total 16 mín.), 3 leituras, 3 testes
3 horas para concluir
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 concluir
5 vídeos (Total 25 mín.), 5 leituras, 5 testes
1 hora para concluir
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 concluir
2 vídeos (Total 12 mín.), 1 leitura, 1 teste
Avaliações
- 5 stars58,99%
- 4 stars23,43%
- 3 stars10,46%
- 2 stars3,34%
- 1 star3,76%
Principais avaliações do DATA SCIENCE FOR BUSINESS INNOVATION
por QF21 de nov de 2020
Interesting and useful to have an overall overview on this important discipline
por BK6 de abr de 2022
I learnt alot about algorithms, statsistics and data science through this course. Thank you to the professors
por RF26 de nov de 2020
The course is good, but sometimes the quizzes are confusing.
por LB13 de fev de 2022
Questions could be worded better, it's a hassle to get the passing grade in some of these. Overall, good introduction to Data-Science and Basic Statistics
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