Health Data School

by Data Science Academy

What we offer

  1. We provide specialised 1-day courses on a variety of topics within the realm of health data science. Our goal is to equip you with the skills and knowledge necessary for modern healthcare analytics and data science in Python. A basic understanding of Python and Pandas is required for most of our courses.
  2. Why Choose Us? The courses offer industry-relevant content and you can upskill without disrupting your busy schedule with 1-day of intensive learning. We specialise in data science bootcamps, ensuring our materials feature clean, easy-to-read Python code that is simple to follow. Over a hundred students, PhDs, and analysts from the public and private sector have attended our 5-day general data science bootcamps, including the Winter Data School and Summer Data School.

Target audience

  1. PhD students: Ideal for those handling healthcare or biomedical data, utilising statistics, and building models for their research.
  2. Healthcare analysts: Perfect for those transitioning from Excel to Python, learning how to apply advanced algorithms and create sophisticated visualisations.
  3. Professionals Designed for individuals eager to expand their knowledge in methodology and research methods.

Format

  1. Hands-on workshops with real-world healthcare and biomed datasets
  2. Extensive Python coding and numerous visualisations
  3. Lectures on important data science concepts
  4. A combination of theoretical and practical learning materials

Courses


Pricing

Same for all courses

Private sector

Price - 500 EUR

Public sector

Price - 450 EUR

Academia

Price - 400 EUR

Lecturers

Imrich Berta

Applied mathematics graduate from University of Cambridge, experienced in machine learning models for disease prediction. Currently works as a consultant for the Slovak government on cancer epidemiology and public health. Actively mentors analysts and organizes coding workshops for students.

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