The impact of statistical biases - Data Literacy at TU Dortmund University

The impact of statistical biases - Data Literacy at TU Dortmund University#

This is a small interactive tutorial that teaches you about different kinds of biases affect the performance of a statistical model. In this tutorial, Python code is used to work with artificial datasets and create statistical models and plots. You will not have to code yourself, but you can edit and alter the code if you want to try changing up the model. You can complete this course in your browser, without the need to install Python on your local machine.

If you have any questions, please do not hesitate to send us an email:

Attention

To edit and run the Python code in this course, you will find this live code symbol symbol on the top of each page that contains Python code. You can click on it and then choose “Live code” to edit and run code yourself. The first time you do this, it will take several minutes to load the live code environment. This is normal. You will be able to run your code when it says “ready”. Please feel free to test different things out and play around with the code. You cannot break anything here and nobody (including us) can see your code, so feel free to experiment.