課程信息

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第 3 門課程(共 4 門)
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完成時間大約為8 小時
英語(English)
字幕:法語(French), 巴西葡萄牙語, 俄語(Russian), 英語(English), 西班牙語(Spanish)

學生職業成果

33%

完成這些課程後已開始新的職業生涯

25%

通過此課程獲得實實在在的工作福利
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。
第 3 門課程(共 4 門)
可靈活調整截止日期
根據您的日程表重置截止日期。
完成時間大約為8 小時
英語(English)
字幕:法語(French), 巴西葡萄牙語, 俄語(Russian), 英語(English), 西班牙語(Spanish)

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ESSEC商学院

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 3 小時

Introduction to case studies in business analytics with Accenture

完成時間為 3 小時
8 個視頻 (總計 39 分鐘)
8 個視頻
Market trends and key challenges in Analytics - Mickael Svilar2分鐘
Why is Big Data really big? - Nicolas Glady5分鐘
Winning in Digital: Powered by Analytics - Jean-Pierre Bokobza7分鐘
Big data & predictive maintenance in the Utilities sector - Rohit Banerji4分鐘
Big data & advanced analytics in the Communications industry - Cian O’Hare4分鐘
Advanced Analytics in the Public Service - Christopher Gray6分鐘
Wrap-up: a conceptual framework of the applications of Big Data Analytics - Nicolas Glady5分鐘
3 個練習
Practice Quiz on resource Sector case30分鐘
Practice Quiz on the Global Communication case30分鐘
Practice quiz on the Public Service case30分鐘
2

2

完成時間為 2 小時

Digital Transformation in the Media, the Financial Services and the Retail Sector

完成時間為 2 小時
7 個視頻 (總計 48 分鐘)
7 個視頻
Solution and success factors - Christine Removille15分鐘
Introduction and key digital trends in Financial Services3分鐘
Analytics capability based on “People like you"6分鐘
How to leverage “People like you” micro-segmentation - Example 1 – Increase campaign yield3分鐘
How to leverage “People like you” micro-segmentation - Example 2 – Optimize pricing5分鐘
Digital transformation and wrap-up6分鐘
2 個練習
Practice quiz on the "Canal+" case study30分鐘
Practice quiz on the financial service case study30分鐘
3

3

完成時間為 3 小時

Advanced Analytics in Healthcare and the Pharmaceutical industry / Wrap up and Introduction to capstone

完成時間為 3 小時
12 個視頻 (總計 41 分鐘)
12 個視頻
Introduction and key challenges - Paul Pierotti2分鐘
Correlation between life expectancy and health spending - Paul Pierotti1分鐘
Presentation of 5 Health Analytics use cases - Paul Pierotti2分鐘
Focus on Care Management for patients with chronic diseases - Paul Pierotti4分鐘
Wrap up - Paul Pierotti1分鐘
Advanced Analytics in the Pharmaceutical industry - Xavier Cimino7分鐘
How to create value from data? - Fabrice Marque2分鐘
Wrap up - Mickael Svilar1分鐘
Data exploration is an iterative process - Nicolas Glady4分鐘
Analytics exploration - Oonagh O’Shea & Noelle Doody4分鐘
Wrap up & Capstone guidelines - Nicolas Glady2分鐘
2 個練習
Practice quiz on the health service case30分鐘
Practice quiz on the Life science industry case30分鐘

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關於 战略业务分析 專項課程

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing....
战略业务分析

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