Speaker
Anastasia Karavdina
Description
Many people in academia convinced: Data Science can be a rewarding alternative to academia, and academics do have many qualities that make them attractive candidates for data science roles.
The sad truth is that such transition can easily take a year and sometimes even longer. So this is a marathon. Accomplishing it faster and at the right place requires preparation. 'Preparation for marathon' means research in the field. And as a professional researcher you know how important it is to ask the right questions. In this talk we will have a look at Data Science landscape and what you should focus on shall you decide to become a Data Scientist.
Primary author
Anastasia Karavdina
