Python & Data Foundations

Master the building blocks of data-driven Python. Over eight training days you'll cover core Python plus an introduction to working with data — a strong foundation for analysis, science, and AI.

Format

8 training days across 4 weeks (Saturdays & Sundays over four weekends), 6 hours per day.

Daily schedule

Six hours of training each day, with a lunch break and two short breaks:

• 09:00 – 10:30 — Session 1
• 10:30 – 10:45 — Short break
• 10:45 – 12:15 — Session 2
• 12:15 – 13:15 — Lunch break
• 13:15 – 14:45 — Session 3
• 14:45 – 15:00 — Short break
• 15:00 – 16:30 — Hands-on lab & wrap-up

Day-by-day curriculum

• Day 1 — Sat, Jan 09: Python setup — installation and the REPL
• Day 2 — Sun, Jan 10: Core Python I — variables, types, and strings
• Day 3 — Sat, Jan 16: Core Python II — control flow and loops
• Day 4 — Sun, Jan 17: Data structures — lists, dictionaries, tuples, and sets
• Day 5 — Sat, Jan 23: Functions & files — reusable code and reading data
• Day 6 — Sun, Jan 24: Intro to NumPy — arrays and vectorised maths
• Day 7 — Sat, Jan 30: Intro to Pandas — DataFrames, loading and exploring data
• Day 8 — Sun, Jan 31: Mini analysis — a small end-to-end data project