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.
提供方
EIT 数字
米兰理工大学
Data Science for Business Innovation
EIT 数字
課程信息
6,132 次近期查看
您將學到的內容有
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
您將獲得的技能
Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data
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初級
完成時間大約為8 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
完成時間為 1 小時
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.
完成時間為 1 小時
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
完成時間為 2 小時
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.
完成時間為 2 小時
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 Learning30分鐘
完成時間為 3 小時
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.
完成時間為 3 小時
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 Regression30分鐘
Naive Bayes30分鐘
Decision Trees and Random Forests30分鐘
Logistic Regression30分鐘
K-means Clustering6分鐘
完成時間為 1 小時
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.
完成時間為 1 小時
2 個視頻 （總計 12 分鐘）, 1 個閱讀材料, 1 個測驗
1 個閱讀材料
Data Science Challenges20分鐘
1 個練習
Data Science Challenges30分鐘
審閱
3.9
來自DATA SCIENCE FOR BUSINESS INNOVATION的熱門評論
由 GS 提供Jan 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.
由 TG 提供Dec 14, 2019
There are sometimes language interpretations that make it really hard to pass the quizes.
提供方
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.
米兰理工大学
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers.
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