About this Course
4.4
392 ratings
88 reviews
Specialization
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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 15 hours to complete

Suggested: 4 weeks of study, 2-3 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Data AnalysisBusiness AnalyticsR ProgrammingPresentation
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 15 hours to complete

Suggested: 4 weeks of study, 2-3 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

Introduction to Strategic Business Analytics

In this module, we will introduce you to the course and instructional approach. You will learn that Strategic Business Analytics relies on four distinct skills: IT, Analytics, Business and Communication....
Reading
4 videos (Total 11 min), 1 reading, 1 quiz
Video4 videos
Becoming a Business Analytics expert1m
Why? It is all about value not data3m
How to leverage data for value - from data to insight3m
Reading1 reading
Dataset for practice quiz10m
Quiz1 practice exercise
Practice Quizz Module 116m
Hours to complete
1 hour to complete

Finding groups within Data

In this module, you will learn how identifying groups of observations enables you to improve business efficiency. You will then learn to create those groups in a business-oriented and actionable way. We will use examples to illustrate various concepts. The assessments will also provide you with opportunities to replicate these examples....
Reading
9 videos (Total 59 min), 1 reading, 1 quiz
Video9 videos
Basic clustering using ad-hoc techniques: the example of product management5m
Identifying groups within data: what's the intuition behind clustering? The example of HR Analytics11m
Introduction to Customer Segmentation7m
Presentation of Pauline Glikman2m
Recital M2 - SKU example12m
Recital M2 - HR example8m
Recital M2 - Telecom example4m
Wrap-up: identifying groups within data2m
Reading1 reading
Script and dataset files to replicate recitals10m
Quiz1 practice exercise
Quiz - Module 210m
Week
2
Hours to complete
1 hour to complete

Factors leading to events

In this module, you will learn why using rigorous statistical methods to understand the relationship between different events is crucial. We’ll cover two examples: first, using a credit scoring example, you will learn how to derive information about what makes an individual more or less likely to have a strong credit score? Then, in a second example drawn from HR Analytics, you will learn to estimate what makes an employee more or less likely to leave the company. As usual, we invite you to replicate those examples thanks to the recital and to use the assessments provided at the end of the module to strengthen your understanding of these concepts....
Reading
7 videos (Total 62 min), 1 reading, 1 quiz
Video7 videos
Why use Business Analytics to understand the relationship between causes and consequences10m
Understanding what distinguishes two categories9m
Beyond the regression estimates: reporting effects in a visual way9m
Recital M3 - Credit score example9m
Recital M3 - HR example17m
Wrap-up: identifying causes to effects2m
Reading1 reading
Script and dataset files to replicate recitals10m
Quiz1 practice exercise
Quiz - module 310m
Week
3
Hours to complete
1 hour to complete

Predictions and Forecasting

In this module you will learn more about the importance of forecasting the future. You will learn through examples from various sectors: first, using the previous examples of credit scoring and HR Analytics, you will learn to predict what will happen. Then, you will be introduced to predictive maintenance using survival analysis via a case discussion. Finally, we’ll discuss seasonality in the context of the first example discussed in this MOOC: using analytics for managing your supply chain and logistics better. ...
Reading
10 videos (Total 67 min), 1 reading, 1 quiz
Video10 videos
Predicting events: sales, defaults, risks, churn, etc.3m
Using classification and regression techniques to forecast6m
Predicting when an event will happen with survival analysis11m
Introduction to time series and seasonality6m
Recital M4 - Credit Score7m
Recital M4 - HR example9m
Recital M4 - Predictive maintenance example9m
Recital M4 - Chocolate Sales example8m
Wrap-up: forecasting events2m
Reading1 reading
Script and dataset files to replicate recitals10m
Quiz1 practice exercise
Quiz Module 410m
Week
4
Hours to complete
3 hours to complete

Recommendation production and prioritization

So far, you’ve learnt to use Business Analytics to glean important information relevant to the success of your business. In this module, you’ll learn more about how to present your Business Analytics work to a business audience. This module is also important for your final capstone project presentation.You’ll learn that it is important to find an angle, and tell a story.Instead of presenting a list of results that are not connected to each other, you will learn to take your audience by the hand and steer it to the recommendations you want to conclude on.You’ll learn to structure your story and your slides, and master the most used visualization tips and tricks. The assessment at the end of this module will provide an opportunity for you to practice these methods and to prepare the first step of the capstone project....
Reading
6 videos (Total 39 min), 2 readings, 1 quiz
Video6 videos
It's all about the story11m
One slide / One idea4m
One picture is worth a thousand words5m
Recital M5 - How to present your findings11m
Wrap-up: reporting your results4m
Reading2 readings
Presentation Tips10m
Datasets for Peer Review Assignment10m
4.4
88 ReviewsChevron Right
Career Benefit

33%

got a tangible career benefit from this course

Top Reviews

By PTOct 13th 2015

This course is excellent when it provides the citations very fit to theory. And I learned it in well organized structure of knowledge. Thank Prof. Glady and his team very much.

By BBSep 28th 2017

Prof. Glady is an excellent lecturer. The course is very well produced, and the recitals were a great introduction to using code to solve business questions.

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.