About this Course

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Learner Career Outcomes

33%

started a new career after completing these courses

25%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 7 hours to complete

English

Subtitles: English

Learner Career Outcomes

33%

started a new career after completing these courses

25%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 7 hours to complete

English

Subtitles: English

Offered by

ESSEC Business School logo

ESSEC Business School

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Introduction to case studies in business analytics with Accenture

3 hours to complete
8 videos (Total 39 min)
8 videos
Market trends and key challenges in Analytics - Mickael Svilar2m
Why is Big Data really big? - Nicolas Glady5m
Winning in Digital: Powered by Analytics - Jean-Pierre Bokobza7m
Big data & predictive maintenance in the Utilities sector - Rohit Banerji4m
Big data & advanced analytics in the Communications industry - Cian O’Hare4m
Advanced Analytics in the Public Service - Christopher Gray6m
Wrap-up: a conceptual framework of the applications of Big Data Analytics - Nicolas Glady5m
3 practice exercises
Practice Quiz on resource Sector case8m
Practice Quiz on the Global Communication case10m
Practice quiz on the Public Service case8m
Week
2

Week 2

1 hour to complete

Digital Transformation in the Media, the Financial Services and the Retail Sector

1 hour to complete
7 videos (Total 48 min)
7 videos
Solution and success factors - Christine Removille15m
Introduction and key digital trends in Financial Services3m
Analytics capability based on “People like you"6m
How to leverage “People like you” micro-segmentation - Example 1 – Increase campaign yield3m
How to leverage “People like you” micro-segmentation - Example 2 – Optimize pricing5m
Digital transformation and wrap-up6m
2 practice exercises
Practice quiz on the "Canal+" case study14m
Practice quiz on the financial service case study14m
Week
3

Week 3

3 hours to complete

Advanced Analytics in Healthcare and the Pharmaceutical industry / Wrap up and Introduction to capstone

3 hours to complete
12 videos (Total 41 min)
12 videos
Introduction and key challenges - Paul Pierotti2m
Correlation between life expectancy and health spending - Paul Pierotti1m
Presentation of 5 Health Analytics use cases - Paul Pierotti2m
Focus on Care Management for patients with chronic diseases - Paul Pierotti4m
Wrap up - Paul Pierotti1m
Advanced Analytics in the Pharmaceutical industry - Xavier Cimino7m
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
2 practice exercises
Practice quiz on the health service case14m
Practice quiz on the Life science industry case12m

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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.