Student resources

Course datasets

Download the CSV files used in labs and home practice. Keep the originals unchanged and work on copies in your notebook.

Safe to use: every record is synthetic and contains no real student information. Released under CC0.

Read first

Data dictionary

Definitions, data types, and the intended unit of observation for every dataset.

Lab 0 · Weeks 1–2

Student programme, cohort, entry score, study mode, age, and first-generation status.

1,200 rows · one row per student

Week 1

Course registrations, terms, final grades, and pass status. Students appear more than once.

4,665 rows · one row per registration

Week 3

A deliberately damaged table for practising cleaning, types, duplicates, and missingness.

1,205 rows

Weeks 4–6

Weekly logins, submissions, forum posts, and minutes on the learning platform.

16,165 rows · one row per student-week

Weeks 5–13

Early activity summaries, satisfaction, and course-withdrawal outcomes.

1,200 rows

Week 14

Synthetic free-text course comments and sentiment labels.

732 rows

Week 14

Daily platform sessions for introductory time-series analysis.

364 rows · one row per day

Responsible use

State what one row represents before counting or joining.
Never average an identifier such as student_id.
Treat age, study mode, and first-generation status as sensitive attributes.
Use sensitive attributes for fairness auditing, not to allocate or withhold opportunities.