list 4 séquences
assignment Niveau : Introductif
label Gestion d'Entreprise
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
verified_user Certification payante
timer 16 heures de cours

En résumé

Want to know how to avoid bad decisions with data?  

Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data!  Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

These big picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples. 

We will address questions like: Given a choice of variables to collect about customers, which ones will be worth the cost and effort to collect and store?  How do we connect modern, easy to produce visualizations with the statistical models that give us confidence in our decisions? Can you tell with a quick look whether someone has fabricated part of the data they are using in a presentation?

This course will be good preparation for students with a bachelor’s degree contemplating graduate study in a business field, or anyone eager to have a framework for good decision-making. 

Opportunities in analytics are abundant at the moment. Specific techniques or software packages may be helpful in landing first jobs, but those techniques and packages may soon be replaced by something newer and trendier.  Understanding the ways in which quantitative models really work, however, is a management level skill that is unlikely to go out of style. 

This course is part of the Business Principles and Entrepreneurial Thought XSeries.

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Le programme

  • Variability in the real world and implications for decision making
  • Data types and data quality with appropriate visualizations
  • Apply data analysis to managerial decisions, especially in start-ups
  • Making effective decisions from no data to big data (what should we collect and then what do we do with all this data?)
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Les intervenants

  • Rick Cleary
  • Nathan Karst
  • Davit Khachatryan
  • George Recck
  • Babak Zafari
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Le concepteur

Le Babson College est une école de commerce privée implantée à Wellesley, au Massachusetts, États-Unis.

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La plateforme

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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