Submission timeline
2007–2026One slot for every year since HN launched. Height is that year's peak points; orange marks a 100+ point or 50+ comment breakout. Select a bar to open its strongest thread.
First comments on top threads
HN comment orderWell done! As a data scientist, I can say that your curriculum is spot on. And I also think you're taking the right approach building/hacking/doing rather than going to an institution. This stuff is so new that I find myself spending 5-10% of my time just trying to stay up on the latest tech. One thing I would add though, data science is really 3 things usually: business knowledge, hacking and lastly stats/machine learning. The stats piece is shockingly easy…
I don't like this curriculum very much - I think it is way too heavy on the data engineering side and way, way too little about the actual mechanics of the data science bit. For example, the words "validation" (as in cross validation) and "overfitting" aren't mentioned anywhere on that page, and yet things like data scraping are mentioned multiple times. With all due respect, I can find lots of people to do scraping, but it is much harder to…
The first top-level comment from each of the four biggest threads, in HN’s own order. Excerpts are shortened; open a comment for full context.
- Breakout years
- 2
- Total points
- 271
- Total comments
- 64
100+ points or 50+ comments
reference only — not used in Hall rules or ranking
reference only — not used in Hall rules or ranking
Every submission
| Date | Title as submitted | By | Points | Comments |
|---|---|---|---|---|
| 2013-12-27 | Datasciencemasters/go | imwilsonxu | 5 | 0 |
| 2014-01-16 | Show HN: An Open-Source Data Science CurriculumFirst breakout · Best thread | coderjack | 135 | 43 |
| 2014-08-07 | The Open Source Data Science Masters | auvi | 4 | 0 |
| 2016-08-16 | The Open-Source Data Science Masters | tomrod | 2 | 0 |
| 2016-09-10 | The Open Source Data Science MastersLatest 20+ point return | olalonde | 125 | 21 |