The probability of a hypothesis, given data.
Why math is useful in data science.
Why statistics are useful for data science.
Statistics is exploring data.
Graphical data exploration
Numerical data exploration
Simple description of statistical data.
Basics of hypothesis testing.
This lecture covers describing and characterizing an input-output relationship.
This tutorial talks about how to upload and version your data in OpenNeuro.org
This tutorial shows how to share your data in OpenNeuro.org
This tutorial shows how to run analysis in OpenNeuro.org
Inferring results from incomplete data
Finding parameter values, confidence intervals.
Methods for estimating parameters.
Measuring the correspondece between data and model.
How to choose useful variables.
Common problems in statistical modelling.
You don't have to be a wizard to do statistics!