Course Framework

This intensive 1-day bootcamp is customized to support multi-sector data handlers. To provide maximum value across varied fields, the curriculum generalizes core data processes—moving away from department-specific exam metrics toward cross-functional datasets (such as public sector surveys, consumer market questionnaires, and academic research data). Participants gain complete operational familiarity with SPSS, transforming raw multi-format records into professional insights ready for board presentations or thesis defense.

Bootcamp Practical Lab Schedule

Time	Module	Deliverables
08:30-09:00	Lab Provisioning	Environment Setup
09:00-10:30	Data Import & Preparation	Data cleaning & structuring
10:45-12:15	Descriptive Statistics	Trend & chart extraction
12:45-14:15	Survey Validations	Reliability & Alpha scaling
14:15-15:45	Hypothesis Testing	T-Tests, ANOVA & Reporting

Administrative Rules

• Strict Laboratory Hygiene: No food or beverages allowed inside the terminal environment.
• Storage: Bags and documents must be stored in external lockers.
• Attendance: Minimum 80% attendance required for certification.
• Capacity: Requires a minimum of 30 participants to run.