Python for Data Analysis
Deliver a reproducible notebook explaining patterns in a fictional customer dataset.
Python for Data Analysis develops practical capability through six curriculum modules combining focused lessons, guided activities and assessed deliverables. Deliver a reproducible notebook explaining patterns in a fictional customer dataset. The six-week outline is an estimated learning sequence, not a confirmed cohort timetable; tutors and administrators configure actual dates separately.
Learning outcomes
- Create a notebook with reusable analytical functions.
- Load and summarize customer tables.
- Build a documented cleaning pipeline.
- Explore retention patterns.
- Create an accessible visual briefing.
Who it's for
Aspiring analysts and data practitioners
Prerequisites
Basic computer literacy and elementary arithmetic
Learning tools
Python, Jupyter and pandas
Estimated learning time
42 hours · 6 curriculum modules
Curriculum
Final project
Deliver a reproducible notebook explaining patterns in a fictional customer dataset.
Completion & certificates
- Complete each published lesson.
- Submit every practical assignment and the final project.
- Satisfy the published assessment criteria in tutor or administrator review.
- Receive administrator completion review before certificate eligibility.
Certificate eligibility requires verified completion and administrator review. No certificate has been issued for this course.
Cohorts & class dates
No cohort dates have been confirmed. The curriculum sequence is not a scheduled class timetable.