À propos de ce cours
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Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

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Approx. 9 heures pour terminer

Recommandé : 2 hours/week...

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Sous-titres : Anglais

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 9 heures pour terminer

Recommandé : 2 hours/week...

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
6 heures pour terminer

Introduction and step 1 : Define the analysis framework

11 vidéos (Total 54 min), 16 lectures, 1 quiz
11 vidéos
A picture is worth a thousand words5 min
Recital M5 - How to present your findings10 min
Wrap-up: Reporting your results4 min
How to create value from data? - Fabrice Marque2 min
Wrap up - Mickael Svilar1 min
Data exploration is an iterative process - Nicolas Glady4 min
Analytics exploration - Oonagh O’Shea & Noelle Doody4 min
Wrap up & Capstone guidelines - Nicolas Glady2 min
16 lectures
Objective of the capstone10 min
Datasets used for the capstones10 min
Example deliverable 110 min
Example: Final deliverable10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Guidelines for watching the following video10 min
Optional ungraded peer review information10 min
Semaine
2
2 heures pour terminer

Required assignement 1: Define the analysis framework

1 lecture, 1 quiz
1 lecture
Assignment:Define the analysis framework.10 min
20 minutes pour terminer

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

2 lectures
2 lectures
This week is dedicated to the required feed back on deliverable 1>>10 min
Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework10 min
Semaine
3
2 heures pour terminer

Practice for Deliverable 2

1 lecture, 1 quiz
1 lecture
Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework10 min
Semaine
4
2 heures pour terminer

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

1 quiz
20 minutes pour terminer

Required feedback for delivery 2 and preparation of delivery 3

2 lectures
2 lectures
This week is dedicated to the required feedback on delivery 210 min
Prepare deliverable 3: Present the final outputs and value case10 min
3.6
8 avisChevron Right

50%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Principaux examens pour Capstone: Create Value from Open Data

par NPMay 24th 2019

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

Enseignant

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

À propos de Ecole de commerce ESSEC

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. ...

About the Spécialisation Business Analytics stratégique

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....
Business Analytics stratégique

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.