📊 Ages 13 and up · intermediate · 12 sessions
Data science with Python: course outline
Collect, clean, summarise and chart data with Python, and tell a true story with numbers.
Syllabus
Every session in order
The full outline is ready; lessons are written in this order, each as a complete 60-minute class.
Unit 1 · Data basics
- 1Tables, rows and columnscoming
- 2Averages and spreadcoming
- 3Cleaning messy datacoming
- 4Counting and groupingcoming
Unit 2 · Charts and stories
- 5Bar and line chartscoming
- 6Scatter plots and trendscoming
- 7Misleading chartscoming
- 8Project: a survey reportcoming
Unit 3 · Prediction
- 9Lines of best fitcoming
- 10Simple predictionscoming
- 11Testing a predictioncoming
- 12Project: predict a resultcoming
Class timetable
Plan the dates
Pick the first class date and the days you teach. Every session gets a date, saved on this device; download it to add every class to your calendar.
FAQ
Data science with Python: questions
Who is the Data science course for?
Ages 13 and up · intermediate. It starts from the beginning and each session builds on the one before.
How long is each session?
About 60 minutes, with a minute-by-minute plan at the bottom of every lesson.
What does a learner need?
A computer or tablet with a browser. Nothing to install: code runs on the page, puzzles are interactive, and every lesson has a printable practice sheet.
Can I plan a timetable?
Yes. Choose a start date and the class days below. It lists the date of every session and can be added to your calendar.
Start a conversation
Want a teacher for data science?
Tell us the learner's age and level. We match a teacher from our network and confirm the timing and price first.
- Tell us the learner’s age or grade and goals
- We’ll suggest a suitable class or learning path
- We’ll confirm format, timing and fees with a parent or guardian