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