このコースについて
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初級レベル

英語

字幕:英語

学習内容

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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

習得するスキル

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

英語

字幕:英語

シラバス - 本コースの学習内容

1
1時間で修了

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.

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3件のビデオ (合計13分), 2 readings, 2 quizzes
3件のビデオ
Data-driven Decision Making for Data-centric Organizations2 分
What's Big Data? How Does It Relate to Data Science?6 分
2件の学習用教材
Data-driven Decision Making for Data-centric Organizations15 分
What's Big Data? How Does It Relate to Data Science?15 分
2の練習問題
Data-driven Decision Making for Data-centric Organizations3 分
What's Big Data? How Does It Relate to Data Science?10 分
2
2時間で修了

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件のビデオ (合計16分), 3 readings, 3 quizzes
3件のビデオ
Machine Learning9 分
Solving Problems: Programming vs. Machine Learning3 分
3件の学習用教材
Success Story: Data Science at Netflix30 分
Machine Learning slides20 分
Solving Problems: Programming vs. Machine Learning10 分
3の練習問題
Success Story: Data Science at Netflix5 分
Machine Learning20 分
Solving Problems: Programming vs. Machine Learning2 分
3
2時間で修了

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件のビデオ (合計25分), 5 readings, 5 quizzes
5件のビデオ
Classification of User-generated Content to Recommend Restaurants2 分
Product Recommendation Using Decision Trees and Random Forests2 分
Hiring Employees Using Logistic Regression8 分
K-means Clustering6 分
5件の学習用教材
Linear Regression for Product Price Prediction10 分
Classification User-generated Content to Recommend Restaurants10 分
Product Recommendation Using Decision Trees and Random Forests10 分
Hiring Employees Using Logistic Regression10 分
Using k-means for Clustering10 分
5の練習問題
Linear Regression6 分
Analysing User-generated Content to Recommend Restaurants4 分
Learning to Recommend Products Using Decision Trees and Random Forests2 分
Learning to Hire Fresh Graduates Using Logistic Regression6 分
K-means Clustering6 分
4
1時間で修了

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.

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2件のビデオ (合計12分), 1 reading, 1 quiz
2件のビデオ
Conclusions1 分
1件の学習用教材
Data Science Challenges20 分
1の練習問題
Data Science Challenges2 分

講師

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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

EIT Digital について

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/ ...

ミラノ工科大学(Politecnico di Milano)について

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....

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