A career-boosting data science bootcamp
Bratislava — 23-27 January 2023
- Start – 23rd of January 2023
- End – 27th of January 2023
- A course day starts at 9:00 and ends at 18:00 with breaks for coffee and lunch.
- Coffee breaks and lunch are all covered in the price.
The specialized streams on the fifth day are lectured in parallel, in separate classes.
No programming experience is required to attend.
We will emphasize data visualization and writing simple clean code during the course.
Participants will encounter plenty of data cleaning problems along the exercises.
Forums for knowledge and experience exchange, are an essential aspect of our new community.
Basic quantitative skills
No programming skills needed
Familiarity with computer programming or database structures is a benefit, but not a requirement. Winter School is set up in a way that beginners will learn the basics and do some hands-on experimentation with guidance, while participants with some experience will be able to see best practices, utilise their knowledge and do some additional magic on really cool datasets while consulting with experienced mentors!
Widely considered as one of the best programming languages for beginners, Python is a general purpose language that is currently the best choice for data science and machine learning applications. During the first day, we will walk you through the basics of this language and how to use it to solve data science tasks.
JOIN OUR NEW CROSS-DISCIPLINARY DATA SCIENCE COMMUNITY
5 days of lectures and workshops by industry leaders
Exercises and mentoring
Carefully prepared curriculum
Presentations from external speakers
Membership in the new data science community
We are all passionate about data science in our daily work. This is our journey to share the knowledge and improve Slovak science and policy making.
Imrich graduated Applied Mathematics at University of Cambridge and worked on research in machine learning methods for disease prediction at University of Edinburgh. He currently holds the position of Head of Data Science at a healthcare provider company that operates several hospitals. During his career, Imrich mentored several junior analysts and organised coding workshops for students.
Laura is a biomedical scientist currently studying Evolutionary Systems Biology at University of Vienna. With strong focus on R, Linux and Python throughout her studies, she developed interest in biotechnology and works on research in regeneration where programming knowledge is crucial for the interpretation of lab-acquired data. Together with Jakub, she will be teaching the Biomedical stream at the WDS.
Jakub is a biochemist and bioinformatician collaborating with scientists in the United Kingdom and Slovakia on research of the tumour microenvironment and novel proteins, utilising both data-driven and laboratory methods. Jakub used his bioinformatics skills in a discovery of a novel protein in the parasite liver fluke. Currently, studying Precision Cancer Medicine at University of Oxford.
Jan Dudek studied economics and econometrics at Rice University and Oxford University, graduating magna cum laude. He worked at the Ministry of Health (IZP), where he significantly improved the ensuree risk-equalization scheme, as well as implemented an ML pilot for fraud detection in Slovak healthcare (winning a European Commission grant). He now works as a data scientist, focusing on fraud detection and incentive programs for health providers.
Damian Harateh graduated with Computer Science from UCL, and Law, Accounting & Finance from University of Kent. Currently, Head of Qanuk AI, a start-up developing AI solutions for eCommerce, CEO of Kodyte, an eCommerce consultancy and a Partnership Manager at an award-winning eCommerce agency, Snowdog. Previously, a Software Engineer at IBM. Damian is in charge of all technological needs of the Winter Data School.
+44 7858 115 591