Statistics for Data Science

[RobHarrand]

I'm starting this as a placeholder.

The basic idea is to see if it's possible to complement data lessons with one focussing on a collection of basic statistical ideas for data scientists. Off the top of my head these could include...

Absolute basics

• Descriptive vs inferential statistics (many R plots can be covered in the former, the rest of this list is the latter)
• Probability distributions, perhaps with emphasis on the normal distribution
• Hypothesis testing, p-values
• Confidence intervals

Beyond the basics

• Sensitivity, specificity (precision, recall)
• ROC plots
• Linear regression
• Logistic regression
• Bayesian statistics
• Sample bias