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
6,566 次近期查看
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
完成時間大約為7 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
完成時間大約為7 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
EIT 数字
EIT Digital is a European education and innovation organisation with a mission 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.
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
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
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
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
審閱
來自DATA SCIENCE FOR BUSINESS INNOVATION的熱門評論
由 SP 提供2020年5月23日
The knowledge was practical based and interesting; however better application of knowledge in real life would've been a great add-on.
由 CM 提供2021年5月15日
Great course, great content, the quiz questions are tricky which makes it really interesting
由 TG 提供2019年12月14日
There are sometimes language interpretations that make it really hard to pass the quizes.
由 NW 提供2021年6月24日
it is very hard on naive bayes quizzes but after a few trial i could pass this course..
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