Course overview
Data preparation, SQL, visualization, statistics and automation.
Course code: DATA-101 Proposed duration: 10 weeks Level: Beginner
Prerequisites: Basic Python knowledge recommended
Status: Curriculum in development; not open for enrollment.
Learning outcomes
- Explain and apply the core concepts covered in this subject
- Complete guided practical exercises in an appropriate test environment
- Document technical methods, findings and limitations
- Demonstrate understanding through a final project
Proposed weekly syllabus
- Week 1: Data fundamentals
- Week 2: Python for data
- Week 3: CSV and JSON
- Week 4: Data cleaning
- Week 5: Descriptive statistics
- Week 6: SQL basics
- Week 7: Visualization
- Week 8: APIs
- Week 9: Automated reports
- Week 10: Final data project
Proposed assessments
- Weekly practice exercises and knowledge checks
- Practical lab documentation
- Final project with an assessment rubric
- Review of technical accuracy, safety and clarity
Final project
Build a reproducible data analysis and reporting workflow.
Course delivery and availability
This is a proposed curriculum outline, not a currently offered credential-bearing course. Tuition, instructor assignments, timetables, enrollment and formal assessment arrangements have not been established.