Data Science - Summarising data in Python (part 1)

Free lesson resources for teaching Data Science NPA (National Progress Award) Levels 4,5 and 6.

This lesson covers how to summarise datasets in Python (part 1 of 2), specifically,

• summarise complete datasets
• perform summary calculations for single variables, such as the total, count, min/max and average values
• perform summary calculations for multiple variables

Lesson content,

A PowerPoint/PDF presentation, ‘Summarising datasets in Python (part 1)’
Jupyter notebooks:

• ‘summarising_datasets_with_answers_part_1.ipynb’ (for teachers)
• ‘summarising_datasets_part_1.ipynb’ (for learners)
  Datasets used in the Jupyter notebooks: the datasets are stored online and imported by the Jupyter notebooks.
  Planning document with learning intentions and success criteria

For more information on the Data Science NPA, please see teachdata.science

This lesson has been created by effini in partnership with Data Education in Schools, The Data Lab and Data Skills for Work, with funding from the Scottish Government.

© 2021. This work is licensed under a CC BY-NC-SA 4.0 license.