I teach an Introduction to Data Science course at a university. The lecture meets one hour per week every Friday (along with a 2-hour lab). Since Veteran's Day will be observed on a Monday, I find that I have to teach an additional week this semester! I am hoping that someone helps me pick a topic that would fit in this *really* introductory course (assume that the students do not know coding, spreadsheets, or statistics in advance).

My weekly topics so far are:

- Introduction (x,y, plot(x,y))
- mean, median
- standard deviation, z-scores
- percentiles, correlation
- linear regression
- regression analysis (R^2 values, polynomial regression, exponential regression)
- contingency tables
- graphics
- normal distribution
- confidence intervals
- hypothesis tests
- ANOVA
- wrap up (with a discussion about p-hacking)

What do you think could be useful to add to this Data Science course? (Side note: I have been teaching ggplot and tidyverse in the second semester).