Data science
Spootyfi learning pathway · Beginner to advanced
Ages 16+ · English · 10 suggested study hours · 3 levels
Follow the full data science lifecycle from question and data collection to modelling and communication.
- Frame data questions
- Explore and model data
- Communicate limitations
Beginner · Lesson 1 of 3
Lifecycle
Define the question, collect data, clean it, explore it, model it, communicate results and monitor decisions.
Practical activity
Write a measurable question about a fictional bus service.
Beginner · Lesson 2 of 3
Data types
Numerical data can be continuous or discrete; categorical data represents groups. Dates and text need special handling.
Practical activity
Identify numerical and categorical columns.
Beginner · Lesson 3 of 3
Ethics
Collect only necessary data, protect privacy and consider who could be affected by conclusions.
Practical activity
Remove identifying information from the collection plan.
Reference desk
- Microsoft Data Science for Beginners curriculum
- OpenStax Introductory Statistics
Original Spootyfi lessons and exercises; reference materials are not reproduced. Not affiliated with or endorsed by the reference providers. Course text is English; translations and expert editorial review are pending. Illustrations are conceptual.