data science bootcamp
Bratislava — 21-25 August 2023
PhD students who need to handle data, use statistics or build models in their research.
Analysts who want to swing away from Excel and start working with big data, applying machine learning and create eloquent visualisations.
Professionals wanting to learn more about machine learning and statistics.
Basic quantitative skills
No programming skills needed
PYTHONWidely 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.
By attending Summer Data School, you will gain lifelong access to our data science community. We support our members online, and in person by organizing monthly events such as discussions, short lectures and workshops, and data challenge evenings. The participants of our previous event, Winter Data School, found work opportunities and research collaborations in this community. As community is one of our core values, we listen closely to your feedback and try to accommodate what the members want in our events. Join this wonderful community and gain access to a unique resource for learning data science!
Thanks to our partners, we are able to provide 20 scholarships to students (undergraguate, masters and PhD). This scholarship covers 100% of the costs of Summer Data School. If you are a student and wish to apply for the scholarship, please fill out the sign-up form accordingly and write a short (500 words maximum) motivation statement - the scholarship will be awarded based on this statement.
Our scholarships are intended to support those who (or their research groups in the case of PhDs) cannot otherwise afford the entry to Summer Data School. It is worth noting that the acceptance rate to this scholarship was 30% on our previous event, Winter Data School 2023. If a participant applies and is not granted the scholarship, they will be offered to buy the entry, however this is subject to availability of places, which may be exhausted.
Applied math graduate from Cambridge, experienced in machine learning models for disease prediction. Current Head of Data Science at the largest CEE private healthcare provider. Actively mentors analysts and organizes coding workshops for students.LinkedIn →
Laura is a bioinformatician and biomedical scientist currently at the University of Vienna. The skills she has in R, Linux and Python are crucial for her research in regeneration and she also developed interest in biotechnology and medicine, which helped her team win the first place in a biotech incubator.LinkedIn →
Jakub is a biomedical data scientist studying at Oxford and specializing in oncology collaborating with British and Slovak institutions. Jakub also consults clients in life science on business and technology development, and is passionate about education of future data scientists.LinkedIn →