ESSEC Business School
Online Courses
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The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy
Description With a fixed capacity, a highly disposable product and high fixed costs, hotels are a natural candidate for the application of revenue management. Originally developed by the airlines in the 1970s, these analytics-based techniques help predict consumer behavior at the hotel’s market level so that the hotel can sell each room each night at…
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The fundamentals of hotel distribution
Description In today’s hotel sector an increasingly complex network of traditional and web based channels have to be managed to insure hotel success. Key questions include: how should you distribute over the web? What should you include on your brand.com website so people book through it? How can you maximise the potential of online travel…
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Capstone: Create Value from Open Data
Description The Capstone project is an individual assignment. Participants decide the theme they want to explore and define the issue they want to solve. Their “playing field” should provide data from various sectors (such as farming and nutrition, culture, economy and employment, Education & Research, International & Europe, Housing, Sustainable, Development & Energies, Health &…
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Foundations of strategic business analytics
Description 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…
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Diversity and inclusion in the workplace
Description Diversity is a fact. It is also paradoxical. We need to be capable of seeing and hearing differences in order to reap the benefits of diversity. But seeing and hearing differences hone our discriminating reflexes and can also lead to discrimination. If you take this MOOC, you will: 1. understand this paradox, 2. understand…
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Foundations of marketing analytics
Description 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, in particular in marketing. You will find…