課程信息
3.5
22 個評分
7 個審閱
專項課程

第 4 門課程(共 4 門),位於

100% 在線

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

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(小時)

完成時間大約為9 小時

建議:2 hours/week...
可選語言

英語(English)

字幕:英語(English)...
專項課程

第 4 門課程(共 4 門),位於

100% 在線

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

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(小時)

完成時間大約為9 小時

建議:2 hours/week...
可選語言

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(小時)
完成時間為 6 小時

Introduction and step 1 : Define the analysis framework

Module 1 in the Business Analytics capstone project provides you with a clear idea of how to successfully complete the ESSEC Business Analytics MOOC. It is dedicated to ensuring that you understand the objectives of the capstone project and lets you consult the datasets to be used for the project as well as examples of what the expected deliverable should look like and contain. Before beginning the project, you are advised to review two previous modules dealing with how to effectively structure and present your findings, and how to approach and explore datasets ("Foundation of Business Analytics", the wrap up of "Case Studies in Business Analytics with Accenture"). This module also gives you the opportunity to try out the preparation of deliverable 1 and receive non-graded feedback from your peers, thereby giving you an essential insight into how the other deliverables and peer review steps will work. ...
Reading
11 個視頻(共 54 分鐘), 16 個閱讀材料, 1 個測驗
Video11 個視頻
It's all about the story11分鐘
One slide, One idea4分鐘
A picture is worth a thousand words5分鐘
Recital M5 - How to present your findings10分鐘
Wrap-up: Reporting your results4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
Reading16 個閱讀材料
Objective of the capstone10分鐘
Datasets used for the capstones10分鐘
Example deliverable 110分鐘
Example: Final deliverable10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Guidelines for watching the following video10分鐘
Optional ungraded peer review information10分鐘
2
完成時間(小時)
完成時間為 2 小時

Required assignement 1: Define the analysis framework

The module 2 sets the assignment of preparing deliverable 1 – your analysis framework – for assessment by your peers. ...
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Assignment:Define the analysis framework.10分鐘
完成時間(小時)
完成時間為 20 分鐘

Required feed back on Delivery 1:Define the analysis framework and preparation of deliverable 2

In Module 3 you will be involved in reviewing the deliverables of a minimum of 3 other students( if you can manage more than 3, then all the better!) as well as preparing deliverable 2...
Reading
2 個閱讀材料
Reading2 個閱讀材料
This week is dedicated to the required feed back on deliverable 1>>10分鐘
Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework10分鐘
3
完成時間(小時)
完成時間為 2 小時

Practice for Deliverable 2

Module 4 enables you to submit your draft proposal for deliverable 2 to your peers for review and feedback. ...
Reading
1 個閱讀材料, 1 個測驗
Reading1 個閱讀材料
Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework10分鐘
4
完成時間(小時)
完成時間為 2 小時

Required assignement 2: Present the intermediary outputs and adjustments to the analysis framework

The module 5 sets the assignment of preparing deliverable 2 – Present the intermediary outputs and adjustments to the analysis framework – for assessment by your peers. ...
Reading
1 個測驗
完成時間(小時)
完成時間為 20 分鐘

Required feedback for delivery 2 and preparation of delivery 3

In Module 6 you will be involved in reviewing the deliverables of a minimum of 3 other students( if you can manage more than 3, then all the better!) as well as preparing deliverable 3...
Reading
2 個閱讀材料
Reading2 個閱讀材料
This week is dedicated to the required feedback on delivery 210分鐘
Prepare deliverable 3: Present the final outputs and value case10分鐘
3.5
7 個審閱Chevron Right

熱門審閱

創建者 EUJul 11th 2016

This was hard, but I was happy and the end and have a good grade. Thank to my classmates , thank to ESSEC

講師

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

關於 ESSEC Business School

For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all. ...

關於 Strategic Business Analytics 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....
Strategic Business Analytics

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