Online Course

Implement your statistical analysis while learning Python at the same time. Hands on examples and notebooks included.

Python Statistics

This course will cover the main methods of statistics while developing simple and effective python scripts.

At the end of the course you will have your own Jupyter notebooks that perform the analysis of your choice, including interval estimations for means and proportions, hypothesis testing for means and proportions, sample size calculations, simple linear regression, and contingency tables.

Some practice in programming is necessary for a smooth participation. Elementary knowledge of applied statistics is a pre-requisite to participate. At the end and during the course you will receive the Jupyter notebooks derived during the lecture together with the lecture notes.

This course will take 15 hours, including time to work through your own scripts in Python. Dates and prices will be announced.
Please register to the newsletter to stay updated about when this course will be offered.

Angelo Valleriani

Theoretical physicist turned into a multidisciplinary scientist

I’ve been inspired by a diverse range of topics like malaria, cancer, and gene expression, applying this knowledge in my teachings. My teaching now focuses on applied statistics, where I blend theory and experiment to elucidate the math behind randomness. Despite my affinity for the mathematical details, I understand the importance of intuition in teaching. On this website, I offer courses designed for those who are curious or preparing for a professional course, aiming to make complex statistical theories accessible to all.


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