Data Science - In Python, Dataset understanding (part 2 of 2)

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

This lessons follows on from ‘Dataset Understanding in Python (part 1)’ lesson which is available from the effini TES shop.

This lesson continues to look at the data understanding step of the analysis step, specifically,
• identification of outliers and missing values

Lesson content,

A PowerPoint/PDF presentation, ‘Dataset Understanding in Python (Part 2)’
Jupyter notebooks:

‘understanding_datasets_with_answers_part_2.ipynb’ (for teachers), and
‘understanding_datasets_part_2.ipynb’ (for learners)
Datasets used in the Jupyter notebook: the datasets are stored online and imported by the Jupyter notebook.
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.

© 2022. This work is licensed under a CC BY-NC-SA 4.0 license.