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SUMMARY:Statistics in Python
UID:https://www.elixir-czech.cz/events/statistics-in-python-06-2026
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DESCRIPTION:AboutThis two-day course provides a practical introduction to statistical
analysis using Python, combining lectures with hands-on sessions in Jupyter
notebooks. Topics include data visualisation and exploration, probability
distributions, hypothesis testing, and correlation and regression
modelling.By the end of the course, participants will be able to:Load,
manipulate, and visualise tabular data using pandas, matplotlib, and
seabornUnderstand and assess the distribution of their dataSelect and apply
appropriate statistical tests for common experimental designsInterpret test
results correctly, including assumptions, p-values, and effect sizesPerform
and interpret correlation analyses and linear regression modelsApply these
methods independently using Python in a Jupyter notebook
environmentDetailsDates: 3.–4. 6. 2026Location: Institute of Molecular
Genetics of the Czech Academy of Sciences, Vídeňská 1083, Praha 4,
Jágr’s hallMaximum capacity: 25 participantsProgrammeDay 1 — Data
Visualisation & DistributionsData manipulation and
visualisationDistributions and hypothesis testingStatistical testsDay 2 —
Statistical Testing & RegressionStatistical testing,
continuedCorrelation and regressionInstructorsThe course is taught by
Michal Kolář, Jan Kubovčiak, Mathys Delattre, Lucie Pfeiferová,
Vojtěch Melichar, and Kateřina Večerková from the Institute of
Molecular Genetics of the Czech Academy of Sciences.RequirementsBasic
familiarity with Python is required. Participants are expected to be
comfortable with Python syntax and basic data structures. Those who would
benefit from a refresher are encouraged to attend the Python Basics course
(25.–26. 5. 2026) first.Participants are encouraged to bring their own
laptops. Software requirements will be communicated to all participants
upon registration.RegistrationMore details coming soon.
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