Guillaume Chevillon

I am CoAcademic Director (for ESSEC) of the ESSEC|CentraleSupélec Master in Data Sciences & Business Analytics. Together with Nikos Paragios from CentraleSupelec (and now Laurent Alfandari, Fragkiskos Malliaros & Abdelmounaim Derraz), we've been running this program since we welcomed the first cohort in 2015. I'm very proud of this Master which has been very successful so far, with great students and professors involved. It was the first joint master between a business school and an engineering school that was accredited by the French Ministry of Higher Education at the master level.

My teaching focuses on statistical methods for understanding, modelling and predicting individual behaviours in Business, Economics and Social Sciences.

A related question of interest to me is what Data Sciences bring to Social Sciences. A Set of slides of mine about a presentation I made in the Edgar Morin Chair on Complexity can be found here. I also participated in the MOOC on Complexity, available on Coursera, organized by Edgar Morin and ESSEC.

In the Master in Data Sciences and Business Analytics, we gratefully thank Datacamp classroom for providing free access to their services for our students.

Hence my main courses are:

Business Statistics & Introduction to Analytics

This is the only compulsory course in the MSc in Management (Grande Ecole Program). The aim of the course is to provide a comprehensive and practical methodology for extracting information from data.

The course is given to about 350 students each year. I conceive the content, pedagogical methods and coordinate about 10 external lecturers each year.

Forecasting & Predictive Analytics

This is an elective course for the Grande Ecole Program and a fundamental course for the ESSEC-CentraleSupelec MSc in Data Sciences & Business Analytics.

Beyond understanding the tools that are used in Predictive analytics & Forecasting, the aim of the course is to make the link with the developments of social sciences. Indeed when forecasting is about the output of human behavior, we must be very careful and need to think about the interaction between human beliefs and their environments.

In the past I also taught Predictive Models & Help towards decision in the MS in Strategic Management of international Business.

This year, DataCamp kindly gave access the students access to their online courses, these seem quite valuable for starting in R.

Time Series

This is a Graduate course for the PhD concentrations in Economics, Finance and Data Analytics

I have also taught some specific courses:

Macroeconomics: Alchemy or Science

This is a set of lectures for the MSc and Advanced Masters students at ESSEC where we discuss the issues with developing a science of aggregate behavior in social sciences. The idea is to come up with an understanding of the solutions and limitations specific to Macroeconomics.

Comprendre et changer le monde: comment maintenir notre autonomie face à l'Intelligence Artificielle

J'anime en septembre 2018 un séminaire sur l'autonomie de l'individu face à l'IA en première année du programme Grande Ecole.

Past courses