Analytics I: Reading the Data
The metrics that matter and the ones that don't. Retention graphs, CTR, reach, watch time.
- Lectures
- 8
- Total runtime
- 2h 27m
- Attendance minimum
- 1h 14m
- Prerequisites
- None
Lecture Playlist
Ordered as a teaching progression, not by popularity. Attendance is recorded once half of a lecture has been watched.
- 5 Ways to Make the Most of Data with Andrea Jones-Rooy | 2021 Wharton People Analytics Conference Before the dashboard: what a number can and cannot tell you 17 min Attended
- Analytics in YouTube Studio The map: what each analytics tab actually reports 6 min Attended
- Impressions, CTR & more - Sneak Peek #3 Impressions and click-through rate, defined by the team that built them 20 min Attended
- What Determines How Many Impressions Your Video Gets? Reach is an outcome, not a lever: what actually drives impressions 10 min Attended
- Want to Understand YOUR Traffic Sources? WATCH THIS! Traffic sources and the misreadings creators make of them 8 min Attended
- What the Search for the Next Great NFL Quarterback Can Teach Us About Data-Driven Decision Making The limits of prediction: when a metric stops being evidence 34 min Attended
- Better Decision-Making: Richard Thaler with Cade Massey | 2019 Wharton People Analytics Conference Acting on data without fooling yourself 43 min Attended
- Practicum · working creator 3 Ridiculously Useful YouTube Analytics (Small Channels, Pay Attention!) A working creator opens his own YouTube Studio and reads the traffic-source reports most channels never scroll to, naming what each one told him to change on the next upload: Lecture 5's traffic-source diagnosis and Lecture 2's map of the tabs, run on live channel numbers instead of a demo account 9 min Attended
Every course reserves one practicum seat, listed last and marked P. It is filled by someone who has shipped the work — here, Nate Black — because the university lectures establish why something works and the practicum shows it being done under real constraints.