Online Course

Learn the first practical and useful methods for confidence intervals and hypothesis tests with examples from applied science.

Basic Statistics

The Basic Statistics course is thought for those who need a quick refresh or a quick start in statistics before digging into a more detailed study.

At the end of the course you will have seen and heard most of the important vocabulary in typical statistical analysis, including descriptive statistics, confidence intervals, hypothesis tests, and p-values. We will discuss the difference between statistically significant and practically relevant. Elementary knowledge of statistics or some practical experience is a pre-requisite to participate. Participants will receive a copy of the lecture notes and a certificate of participation.

This course will take ten hours. Dates and prices will be announced. Please register to the newsletter to stay updated about when this course will be offered.

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N. BegunStudent

“Many thanks for the insightful lectures last week! They provided a great starting point for learning statistics and I am very much looking forward to applying this new knowledge in some of my upcoming research projects.”

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Y. ZhouStudent

“Thank you so much for offering this course and helping us to learn better about Statistics. With the help of your course, I had the chance to understand better the mathematical background of the statistical terms and tests that I am using in the evaluation of my experimental data, it was a very useful course.”

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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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