In the course we will study experiment design, basic data analysis and inference, hypothesis testing and some modelling. This involves exploring data via visualization to help propose viable hypotheses; testing hypotheses and constructing and validating predictive models for the data. The basic statistics and probability concepts required will also be covered - but quickly.
The language and platform used will be Python. Python will not be covered in the course. Look at the reference material in the links page.
At the end of the course students should be proficient in the platform used and should be able to use it to do basic data analysis and inference. Also, contruct simple statistical models for data. They will also be expected to understand the basic theoretical statistical basis for data analysis. However, the emphasis will be on applying statistical methods for data analysis and not the theory behind the methods themselves.
The topics below will not be covered in sequence but braided together so that the course as whole makes sense.