Online Course

This course will give you an overview of applied statistics, including confidence intervals, hypothesis tests, ANOVA and regression. Both with a theoretical approach and with plenty of examples from applied science.

Applied Statistics

This course is best suited for researchers in experimental biology. It will cover the main methods of descriptive statistics, interval estimation and hypothesis tests for means, proportions and quantiles, sample size estimations, simple linear regression, contingency tables and ANOVA methods.

The emphasis will be on the applied side, with illustrative exercises and discussion of the methods without entering in the details of their mathematical justification. The theoretical part will be explained by means of examples and intuitive arguments. The examples will be designed so that you can reproduce the results using your own reference software.

During the course you won’t make any direct calculation but I will give you time to think about the problems discussed in the class. Participants will receive a copy of the lecture notes and a certificate of participation.

Duration:
This course will be five hours per day for three days (total of 15 hours), plus several short breaks, a lunch break, and time for questions.

Dates:
November 29, November 30, December 1, 2023

Schedule:
The course starts at 9am and ends at 4pm. Lunch break will be at around 12:30pm.

Price:
200 EUR per single participant

Format:
Online, registered participants will receive a link to the lectures. The lectures won’t be recorded.

Bonus materials:
All Jupyter notebooks, all datasets, and a full set of useful functions in Python to be freely used.

Pre-requisite:
High-school level of algebra and calculus.

Deadline for registration:
The registration for this course is closed. If you are still interested in attending, please contact us via email at courses@AppliedStatistics.de. We cannot guarantee that a participation is still possible after the deadline.

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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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