Online Course
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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. Next course around end of November 2024.
Introduction to 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 into 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:
TBA
Schedule:
The course starts at 9am and ends at 4pm. Lunch break will be at around 12:30pm.
Price:
500 EUR per single participant (registering a group? Send an email for an offer)
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.
Registration: Closed. Get the newsletter to receive updates about new courses.
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