このコースについて
3.5
22件の評価
7件のレビュー

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約9時間で修了

推奨:2 hours/week...

英語

字幕:英語

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約9時間で修了

推奨:2 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
6時間で修了

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. ...
11件のビデオ (合計54分), 16 readings, 1 quiz
11件のビデオ
It's all about the story11 分
One slide, One idea4 分
A picture is worth a thousand words5 分
Recital M5 - How to present your findings10 分
Wrap-up: Reporting your results4 分
How to create value from data? - Fabrice Marque2 分
Wrap up - Mickael Svilar1 分
Data exploration is an iterative process - Nicolas Glady4 分
Analytics exploration - Oonagh O’Shea & Noelle Doody4 分
Wrap up & Capstone guidelines - Nicolas Glady2 分
16件の学習用教材
Objective of the capstone10 分
Datasets used for the capstones10 分
Example deliverable 110 分
Example: Final deliverable10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Guidelines for watching the following video10 分
Optional ungraded peer review information10 分
2
2時間で修了

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. ...
1 reading, 1 quiz
1件の学習用教材
Assignment:Define the analysis framework.10 分
20分で修了

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...
2 readings
2件の学習用教材
This week is dedicated to the required feed back on deliverable 1>>10 分
Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework10 分
3
2時間で修了

Practice for Deliverable 2

Module 4 enables you to submit your draft proposal for deliverable 2 to your peers for review and feedback. ...
1 reading, 1 quiz
1件の学習用教材
Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework10 分
4
2時間で修了

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. ...
1 quiz
20分で修了

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...
2 readings
2件の学習用教材
This week is dedicated to the required feedback on delivery 210 分
Prepare deliverable 3: Present the final outputs and value case10 分
5
2時間で修了

Required Delivery 3: Present the final outputs and value case

The module 7 sets the assignment of preparing deliverable 3 – Present the final outputs and value case – for assessment by your peers. ...
1 quiz
10分で修了

Required feedback on Assignment 3: Present the final outputs and value case

In Module 8 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...
1 reading
1件の学習用教材
This week is dedicated to the required feedback on deliverable 3>>10 分
3.5
7件のレビューChevron Right

50%

コースが具体的なキャリアアップにつながった

人気のレビュー

by NPMay 24th 2019

Great specialization! I my opinion it's the best business analytics MOOC. By far.

講師

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

エセック・ビジネススクール(ESSEC Business School)について

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. ...

Strategic Business Analyticsの専門講座について

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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