Career Starter Tracks
Career Starter Analytics Sprint
Portfolio pieces, interview storylines, and feedback tuned for first analytics hires.
Overview
We compress the awkward middle between courses and applications. You finish two portfolio slices with documented limitations, practice live SQL narrations, and run mock panels with our employer partnerships lead. Constructive notes are expected—this track rewards specificity over polish.
What is included
- Portfolio scope triage with student success advisor
- Live SQL narration with rubric-based scoring
- Behavioral prompts tied to Daegu hiring partners
- Peer mock interviews with rotating mentors
- Git hygiene clinic for non-engineers
- Resume line editing with concrete verbs
- Optional recorded session for self-review
Outcomes
- Submit two portfolio entries with explicit caveats
- Answer metric definition questions without hedging
- Request feedback that references named modules from this catalog
Lead mentor
Eunji Han
Student success advisor; former campus recruiter for a regional bank.
Logistics
Difficulty: Foundation · Schedule: Blended · Mentor cadence: Intensive
Tools referenced: Sheets, SQL, Canva
Participant questions
Is job placement guaranteed?
No. We prepare materials and practice; outcomes depend on market timing and your follow-through.
Can I use work data?
Only with written permission—we provide scrubbed datasets if your employer declines.
English interview prep?
Sessions are in English; we can add Korean coaching through partners for an extra fee.
Cohort notes
“Mock panel referenced Career Starter Analytics Sprint modules by name—felt grounded.”