Lviv Data Science Winter School

About

Data Science Winter School 2018 is organized by the Faculty of Applied Science of the Ukrainian Catholic University.
This winter the school’s participants – master and Ph. D. students, young professionals – could take one of the two courses: Reinforcement Learning and Time Series & Forecasting. The participants will gain solid theoretical knowledge as well as a lot of practical work.
Please notice that participants’ knowledge and skills level should be intermediate or higher. Eligible applicants should have solid knowledge of linear algebra, the theory of probability, and statistics; should have good Python knowledge and R (optimal for the Time Series & Forecasting course).
The school’s dates are January 10 – 17, 2018. Please notice, the proposed courses will go simultaneously. Thus the one has to pick the only one of them.
A study day on each course has the following structure of the schedule:
- theoretical lecture part before lunch;
- practical work under lecturers’ supervision after lunch.

Course leader

Oleksii Molchanovskyi

Target group

Master and Ph. D. students, young professionals

Course aim

The aim is to give the practice-oriented knowledge in the field of Data Science

Fee info