Foundations of strategic business analytics
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assignment Уровень : Начальный
chat_bubble_outline Язык : английский
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timer 8 час(ы) курса


Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business. We’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues. By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. By the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) We give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design.

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Week 1

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.

Week 2

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.

Week 3

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. 

Week 4

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. 



Nicolas Glady
Associate professor, at ESSEC Business School
Marketing Department



ESSEC Business School

Institution académique d’excellence créée en 1907, ESSEC BUSINESS SCHOOL s’est, tout au long de son histoire, illustrée par son esprit pionnier, partagé par la communauté de ses 46 000 diplômés.

Aujourd’hui, l’ESSEC propose à Cergy-Pontoise, Paris-La Défense et Singapour une large gamme de programmes, en formation initiale et continue, irrigués par une recherche de pointe.
Marquée par une profonde tradition humaniste, l’ESSEC a fait du lien entre vie économique et société un enjeu fondamental de la formation de managers responsables. Par là-même, l’ESSEC affirme la nécessité de mettre l’innovation, le savoir et la création de valeur au service de l’intérêt général."

Nous sommes dans un monde en pleine mutation, économique, sociale, culturelle : nos étudiants doivent développer leur sens de l’adaptation, surtout leur créativité, et la place du numérique est un sujet majeur.

L’étudiant adapté aux besoins économiques de demain est quelqu’un qui tient les deux bouts de la chaîne entre d’une part, une très forte compétence sur le plan des humanités modernes – les humanités classiques plus les humanités numériques – et d’autre part, un professionnalisme incluant la compétence numérique. Sans oublier la technicité réelle que donne l’expérience ESSEC telle que nous sommes en train de la revitaliser grâce au plan stratégique.




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