Statistics and Data Science
Total watch time
8h 10m
at 1× speed · exactly 8 hours, 9 minutes, 30 seconds at 1×
| 1× | 8h 9m 30s |
|---|---|
| 1.25× | 6h 31m 36s |
| 1.5× | 5h 26m 20s |
| 1.75× | 4h 39m 43s |
| 2× | 4h 4m 45s |
Plan to finish
About 9 days at an hour a day
Pick a daily pace and the days you'll watch. Ticked videos are skipped.
At one hour a day, every day, this playlist takes about 9 days. Turn on JavaScript to plan around your week.
Videos (10)
8h 10m in total · tick what you've watched
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| Watched | ||||
|---|---|---|---|---|
| 1 |
 Stanford Webinar - How to Analyze Research Data: Kristin Sainani
|
58:53 | 2021-05-21 | |
| 2 |
 Stanford Webinar: Effective Data Visualization in the Era of COVID-19, Kristin Sainani
|
32:36 | 2020-11-07 | |
| 3 |
 Stanford Webinar - Data Overload: Making Sense of Statistics in the News, Kristin Sainani
|
58:18 | 2020-11-03 | |
| 4 |
 Stanford Webinar: How to Be a Statistical Detective
|
56:26 | 2020-02-18 | |
| 5 |
 Stanford Seminar - Advanced Technology for the Common Good
|
59:21 | 2015-03-12 | |
| 6 |
 Stanford Seminar - Secure Data Science on the Internet of Things
|
55:25 | 2015-02-20 | |
| 7 |
 Stanford Seminar - Complex Coupled Networked Systems
|
52:05 | 2015-02-06 | |
| 8 |
 Stanford Seminar - Applying Theory to Practice (and Practice to Theory)
|
58:58 | 2015-02-06 | |
| 9 |
 Stanford Seminar - From Bytes to Bites: How Data Science Might Help Feed the World
|
57:28 | 2015-01-22 | |
| 10 | Private video | — |
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Data from the YouTube Data API as of 2026-09-22 (cached). Private or deleted videos are excluded from totals.