Learn about Data Science in a 5-day bootcamp
© 2019 EPFL
There is a revolution underway in digital transformation, data-driven business models, and automation. The College of Management of Technology has developped a 5-day course on June 3-7, 2019, to allow managers to tackle the technical foundations for Data Science.
The fastest growing and most innovative companies around the world are rapidly developing new capabilities in Data Science. McKinsey projects that AI will deliver an additional $13 trillion of GDP to the global economy by 2030. It therefore is not surprising that many business schools now view Data Science as a critical job for the 21st century.
This course targets managers and professionals who need a fast -- and comprehensive -- technical overview of Data Science and Artificial Intelligence. Most participants are not professional programmers, but rather are professionals who know their core business but need to separate the reality from the hype of artificial intelligence. They also need a foundation of new skills so that they can collaborate better with technical teams and make better-informed decisions about which opportunities to pursue.
In this course, you will:
- Learn the foundational concepts and methods of data science .
- See how AI is changing business models and motivating new forms of data-driven strategy.
- Learn how to apply specific algorithms to real-world datasets.
Massive amounts of data are being generated (or have the potential to be generated) in all areas of business, science, and government. With the right skills and insights, such data can greatly improve efficiency in fields such as manufacturing, logistics, supply-chain, engineering, finance, telecommunications, transportation, healthcare, and urban planning -- to name just a few. Data science and digital transformation can also reinvent existing products and services to differentiate firms from the competition.
To develop an effective data strategy, managers need a high-level understanding of how Data Science methods work, why they work, and when they often donot work. First-hand experience with Data Science methods can help managers make better decisions and work better with technical members of data science teams.
