課程信息
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100% 在線

立即開始,按照自己的計劃學習。

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初級

完成時間大約為11 小時

建議:4 weeks of study, 1.5 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

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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

您將獲得的技能

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為11 小時

建議:4 weeks of study, 1.5 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Introduction to Data-driven Business

3 個視頻 (總計 13 分鐘), 2 個閱讀材料, 2 個測驗
3 個視頻
Data-driven Decision Making for Data-centric Organizations2分鐘
What's Big Data? How Does It Relate to Data Science?6分鐘
2 個閱讀材料
Data-driven Decision Making for Data-centric Organizations15分鐘
What's Big Data? How Does It Relate to Data Science?15分鐘
2 個練習
Data-driven Decision Making for Data-centric Organizations3分鐘
Big Data and Data Science10分鐘
2
完成時間為 2 小時

Terminology and Foundational Concepts

3 個視頻 (總計 16 分鐘), 3 個閱讀材料, 3 個測驗
3 個視頻
Machine Learning9分鐘
Solving Problems: Programming vs. Machine Learning3分鐘
3 個閱讀材料
Success Story: Data Science at Netflix30分鐘
Machine Learning slides20分鐘
Solving Problems: Programming vs. Machine Learning10分鐘
3 個練習
Success Story: Data Science at Netflix5分鐘
Machine Learning20分鐘
Solving Problems: Programming vs. Machine Learning2分鐘
3
完成時間為 2 小時

Data Science Methods for Business

5 個視頻 (總計 25 分鐘), 5 個閱讀材料, 5 個測驗
5 個視頻
Classification of User-generated Content to Recommend Restaurants2分鐘
Product Recommendation Using Decision Trees and Random Forests2分鐘
Hiring Employees Using Logistic Regression8分鐘
K-means Clustering6分鐘
5 個閱讀材料
Linear Regression for Product Price Prediction10分鐘
Classification User-generated Content to Recommend Restaurants10分鐘
Product Recommendation Using Decision Trees and Random Forests10分鐘
Hiring Employees Using Logistic Regression10分鐘
Using k-means for Clustering10分鐘
5 個練習
Linear Regression6分鐘
Naive Bayes4分鐘
Decision Trees and Random Forests2分鐘
Logistic Regression6分鐘
K-means Clustering6分鐘
4
完成時間為 1 小時

Challenges and Conclusions

2 個視頻 (總計 12 分鐘), 1 個閱讀材料, 1 個測驗
2 個視頻
Conclusions1分鐘
1 個閱讀材料
Data Science Challenges20分鐘
1 個練習
Data Science Challenges2分鐘

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
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Emanuele Della Valle

prof.
Politecnico di Milano

關於 EIT 数字

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/ ...

關於 米兰理工大学

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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