This course provides an introduction to the statistical theory of sampling, parameter estimation and hypothesis testing, covering the following topics:
- Random variables
- Discrete and continuous probability distributions
- Sampling distributions
- Sampling methods
- Parameter inference
- Hypothesis testing
Download this repository to your computer as a ZIP file and unpack it.
Open JupyterLab (within Anaconda) and navigate to the unpacked directory to work with the .ipynb examples.
Alternatively, you can run the notebooks online using Binder:
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At the end of the course, please help us by completing the evaluation form at http://bit.ly/computingdatascience1920