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.
Data Science for Business Innovation
oferecido por
EIT Digital
Politecnico di Milano
Data Science for Business Innovation
EIT Digital
Informações sobre o curso
5,978 visualizações recentes
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 ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 8 horas para completar
Sugerido: 4 weeks of study, 1.5 hours/week
Inglês
Legendas: Inglês
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
3 videos
Data-driven Decision Making for Data-centric Organizations2min
What's Big Data? How Does It Relate to Data Science?6min
2 leituras
Data-driven Decision Making for Data-centric Organizations15min
What's Big Data? How Does It Relate to Data Science?15min
2 exercícios práticos
Data-driven Decision Making for Data-centric Organizations3min
Big Data and Data Science10min
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 videos
Machine Learning9min
Solving Problems: Programming vs. Machine Learning3min
3 leituras
Success Story: Data Science at Netflix30min
Machine Learning slides20min
Solving Problems: Programming vs. Machine Learning10min
3 exercícios práticos
Success Story: Data Science at Netflix5min
Machine Learning20min
Solving Problems: Programming vs. Machine Learning30min
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
5 videos
Classification of User-generated Content to Recommend Restaurants2min
Product Recommendation Using Decision Trees and Random Forests2min
Hiring Employees Using Logistic Regression8min
K-means Clustering6min
5 leituras
Linear Regression for Product Price Prediction10min
Classification User-generated Content to Recommend Restaurants10min
Product Recommendation Using Decision Trees and Random Forests10min
Hiring Employees Using Logistic Regression10min
Using k-means for Clustering10min
5 exercícios práticos
Linear Regression30min
Naive Bayes30min
Decision Trees and Random Forests30min
Logistic Regression30min
K-means Clustering6min
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
1 leituras
Data Science Challenges20min
1 exercício prático
Data Science Challenges30min
Avaliações
3.9
Principais avaliações do DATA SCIENCE FOR BUSINESS INNOVATION
por GSJan 19, 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 TGDec 14, 2019
There are sometimes language interpretations that make it really hard to pass the quizes.
Sobre 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/
Sobre 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao adquirir o Certificado?
Quando você adquire o Certificado, ganha acesso a todo o material do curso, incluindo avaliações com nota atribuída. Após concluir o curso, seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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