What Stat 2 at BUP actually taught me about building real analytics tools

I'm a BBA General student at BUP, and this term's Stat 2 (Business Analytics) course has been the most directly useful class I've taken so far — mostly because I didn't stop at the assignment.

From classroom survey to live web app

The course project was a career-preference survey. Instead of just collecting responses in a spreadsheet, I built it out properly: a one-screen-per-question web survey backed by Supabase, deployed on Vercel, with the export feeding straight into R for the actual statistical analysis — regression, chi-square tests, the works.

• Survey app — gamified, one question per screen, so response quality actually held up.
• Supabase — Postgres backend, row-level security, free tier was plenty for a class-sized sample.
• R — where the real Stat 2 work happened: cleaning the export, running the tests the syllabus actually asks for.

The lesson that stuck

Business analytics courses can feel abstract until you're the one debugging why 40% of respondents dropped off before question 6. Turning the theory into something people actually used taught me more about survey design than the textbook chapter on sampling bias did.

More learning notes like this will land under Learning — BBA coursework, new certifications, whatever I'm picking up next.