Data Science for Managers

Why take this course?
The Harvard Business School calls data science the sexiest job of the 21st century, and McKinsey projects that AI could deliver an additional $13 trillion GDP to the global economy by 2030. Currently 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.
  Objectives - Learn the foundational concepts and methods of data science
- Learn how to apply data analysis algorithms to real-world data sets (i.e., learn some programming)
- Understand the implications of data-driven business models and strategic planning   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
- At least some familiarity with Python is strongly recommended (all demos and exercises in Python)
- The course will be given in English
- Participants should bring their own laptop to use during the course