About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 10 hours to complete

Suggested: 2 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 10 hours to complete

Suggested: 2 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
6 hours to complete

Introduction and step 1 : Define the analysis framework

11 videos (Total 54 min), 16 readings, 1 quiz
11 videos
It's all about the story11m
One slide, One idea4m
A picture is worth a thousand words5m
Recital M5 - How to present your findings10m
Wrap-up: Reporting your results4m
How to create value from data? - Fabrice Marque2m
Wrap up - Mickael Svilar1m
Data exploration is an iterative process - Nicolas Glady4m
Analytics exploration - Oonagh O’Shea & Noelle Doody4m
Wrap up & Capstone guidelines - Nicolas Glady2m
16 readings
Objective of the capstone10m
Datasets used for the capstones10m
Example deliverable 110m
Example: Final deliverable10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Guidelines for watching the following video10m
Optional ungraded peer review information10m
Week
2
2 hours to complete

Required assignement 1: Define the analysis framework

1 reading, 1 quiz
1 reading
Assignment:Define the analysis framework.10m
20 minutes to complete

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

2 readings
2 readings
This week is dedicated to the required feed back on deliverable 1>>10m
Prepare deliverable 2: Present the intermediary outputs and adjustments to the analysis framework10m
Week
3
2 hours to complete

Practice for Deliverable 2

1 reading, 1 quiz
1 reading
Optional delivery 2: Present the intermediary outputs and adjustments to the analysis framework10m
Week
4
2 hours to complete

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

1 quiz
20 minutes to complete

Required feedback for delivery 2 and preparation of delivery 3

2 readings
2 readings
This week is dedicated to the required feedback on delivery 210m
Prepare deliverable 3: Present the final outputs and value case10m
3.8
8 ReviewsChevron Right

50%

got a tangible career benefit from this course

Top reviews from Capstone: Create Value from Open Data

By 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

By NPMay 24th 2019

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

Instructor

Avatar

Nicolas Glady

Associate professor, at ESSEC Business School
Marketing Department

About 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. ...

About the Strategic Business Analytics Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.