We need to create an internal training module inspired by Coursera data science specializations but tailored for our entry level staff where do I even begin building this curriculum
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to create an internal training module inspired by Coursera data science specializations but tailored for our entry level staff where do I even begin building this curriculum
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Coursera data science specialization curriculum beginner data analytics learning outcomes SQL Python statistics official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Google Data Analytics Professional Certificate curriculum courses skills official OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |