Data
SQL for Analytics Teams
Blaze Volt built this track for analysts who inherit messy spreadsheets and need reliable SQL patterns for reporting. You will model questions, write defensive queries, and pair outputs with short data dictionaries your teammates can reuse. Evening labs mirror workplace tickets rather than toy databases.
Cohort (evenings) · 6 weeks · Intermediate
6,200,000 VND
Informational pricing — admissions confirms payment schedule.
Request informationResponsible lead
Lan Phuong Vo
Former analytics lead for a HCMC logistics platform; focuses on query review culture.
Curriculum inclusions
- CTE-first patterns for readable multi-step queries
- Window functions for cohort and retention slices
- Indexing intuition without database admin access
- Handoffs to BI tools with stable field naming
- Peer review checklist for query pull requests
- Staging vs mart tables explained on a sample warehouse
- Office hours for employer-specific schemas
Participant outcomes
- Ship a documented SQL brief your team can rerun monthly
- Debug join fan-out and null spikes using a standard playbook
- Present a metrics definition sheet aligned with stakeholders
FAQ
No. Labs run on Blaze Volt datasets. If your employer allows it, mentors can review anonymized snippets you bring.
Cohort reviews
The week on window functions finally made our weekly funnel chart stable. I still reuse the CTE skeleton from cohort week four.
Clear pacing, though the Saturday block is dense. Mentor feedback on my join diagram was the standout.