Data Science for Managers - New course offered by the CDM
© 2018 EPFL
Why has data science become so critical to organizations? The College of Management of Technology @EPFL offers a new 5-day course on September 3-7, 2018. As a professional, it will help you understand DataScience to better manage technical experts in the field.
Why take this course?
In 2012, the Harvard Business School called data science the sexiest job of the 21st century. In 2015, McKinsey projected that “by 2018, the U.S. alone may face a 50-60 percent gap between supply and requisite demand of deep analytic talent“. Now in 2018, we see a revolution in data-driven business models, automation, and analysis by the fastest growing companies. Why has data science become so critical to organizations?
Today, massive amounts of data are available in all areas of science, government and industry. Exploited sensibly, such raw data can significantly improve the efficiency of research, services and industries in fields such as healthcare, engineering, finance, telecommunications or urban developments - to name just a few. But before organizations can build teams, to then build solutions, managers need to better understand the methods, why they work, why they sometimes do not work, and how to integrate them into their planning. We believe managers will make better decisions, and work better with data science teams, when they have first-hand experience working across a range of such methods.
Instructors
Prof. Kenneth Younge, Head of the Technology and Innovation Strategy Lab, EPFL
Prof. Chris Tucci, Head of the Corporate Strategy and Innovation Lab, EPFL
Dr. Omid Shahmirzadi, Post-Doc in Computer Science, Instructor for Practicals and Exercises
Target Audience
Professionals who want to understand Data Science methods and tools, so they can better manage technical experts in the field.
Requirements
No prior training in Data Science is required, although participants should be familiar with:
- Introductory statistics
- Basic knowledge of linear algebra
- Experience with a computer programming language
- Familiarity with Python will be helpful ( examples and exercises in Python)
- The course will be given in English
- Participants should bring their own laptop to use during the course
For more information & registration : https://www.dsfm.ch/