课程信息
4,464 次近期查看

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为10 小时

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

英语(English)

字幕:英语(English)

您将学到的内容有

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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

您将获得的技能

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为10 小时

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

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

Introduction to Data-driven Business

3 个视频 (总计 13 分钟), 2 个阅读材料, 2 个测验
3 个视频
Data-driven Decision Making for Data-centric Organizations2分钟
What's Big Data? How Does It Relate to Data Science?6分钟
2 个阅读材料
Data-driven Decision Making for Data-centric Organizations15分钟
What's Big Data? How Does It Relate to Data Science?15分钟
2 个练习
Data-driven Decision Making for Data-centric Organizations3分钟
Big Data and Data Science10分钟
2
完成时间为 2 小时

Terminology and Foundational Concepts

3 个视频 (总计 16 分钟), 3 个阅读材料, 3 个测验
3 个视频
Machine Learning9分钟
Solving Problems: Programming vs. Machine Learning3分钟
3 个阅读材料
Success Story: Data Science at Netflix30分钟
Machine Learning slides20分钟
Solving Problems: Programming vs. Machine Learning10分钟
3 个练习
Success Story: Data Science at Netflix5分钟
Machine Learning20分钟
Solving Problems: Programming vs. Machine Learning30分钟
3
完成时间为 3 小时

Data Science Methods for Business

5 个视频 (总计 25 分钟), 5 个阅读材料, 5 个测验
5 个视频
Classification of User-generated Content to Recommend Restaurants2分钟
Product Recommendation Using Decision Trees and Random Forests2分钟
Hiring Employees Using Logistic Regression8分钟
K-means Clustering6分钟
5 个阅读材料
Linear Regression for Product Price Prediction10分钟
Classification User-generated Content to Recommend Restaurants10分钟
Product Recommendation Using Decision Trees and Random Forests10分钟
Hiring Employees Using Logistic Regression10分钟
Using k-means for Clustering10分钟
5 个练习
Linear Regression30分钟
Naive Bayes30分钟
Decision Trees and Random Forests30分钟
Logistic Regression30分钟
K-means Clustering6分钟
4
完成时间为 1 小时

Challenges and Conclusions

2 个视频 (总计 12 分钟), 1 个阅读材料, 1 个测验
2 个视频
Conclusions1分钟
1 个阅读材料
Data Science Challenges20分钟
1 个练习
Data Science Challenges30分钟

讲师

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Marco Brambilla

Associate Professor
Politecnico di Milano
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Emanuele Della Valle

prof.
Politecnico di Milano

关于 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/ ...

关于 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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