Informações sobre o curso
3.5
22 classificações
7 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 9 horas para completar

Sugerido: 2 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 9 horas para completar

Sugerido: 2 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
6 horas para concluir

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 vídeos (total de (Total 54 mín.) min), 16 leituras, 1 teste
Video11 videos
It's all about the story11min
One slide, One idea4min
A picture is worth a thousand words5min
Recital M5 - How to present your findings10min
Wrap-up: Reporting your results4min
How to create value from data? - Fabrice Marque2min
Wrap up - Mickael Svilar1min
Data exploration is an iterative process - Nicolas Glady4min
Analytics exploration - Oonagh O’Shea & Noelle Doody4min
Wrap up & Capstone guidelines - Nicolas Glady2min
Reading16 leituras
Objective of the capstone10min
Datasets used for the capstones10min
Example deliverable 110min
Example: Final deliverable10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Guidelines for watching the following video10min
Optional ungraded peer review information10min
Semana
2
Horas para completar
2 horas para concluir

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 leitura, 1 teste
Reading1 leituras
Assignment:Define the analysis framework.10min
Horas para completar
20 minutos para concluir

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 leituras
Reading2 leituras
This week is dedicated to the required feed back on deliverable 1>>10min
Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework10min
Semana
3
Horas para completar
2 horas para concluir

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 leitura, 1 teste
Reading1 leituras
Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework10min
Semana
4
Horas para completar
2 horas para concluir

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 teste
Horas para completar
20 minutos para concluir

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 leituras
Reading2 leituras
This week is dedicated to the required feedback on delivery 210min
Prepare deliverable 3: Present the final outputs and value case10min
3.5
7 avaliaçõesChevron Right

Melhores avaliações

por 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

Instrutores

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

Sobre 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. ...

Sobre o Programa de cursos integrados Strategic Business Analytics

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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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