Data Analysis with Python & Pandas

Turn raw data into real insight. Across six training days you'll learn the core data-analysis toolkit and finish with an end-to-end analysis you can show off — practical skills for research, business, and beyond.

Format

6 training days across 2 weeks (Friday to Sunday over two 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 — Fri, Jan 22: Python for data — Jupyter notebooks, NumPy arrays, basic maths
• Day 2 — Sat, Jan 23: Intro to Pandas — Series and DataFrames, loading CSV and Excel files
• Day 3 — Sun, Jan 24: Cleaning data — missing values, data types, filtering and sorting
• Day 4 — Fri, Jan 29: Transforming data — grouping, aggregation, merging and joining
• Day 5 — Sat, Jan 30: Visualisation — matplotlib and seaborn, charts that tell a story
• Day 6 — Sun, Jan 31: Case study — a full, end-to-end analysis on a real dataset