Data Science - In Python, Advanced data cleansing (part 2 of 2)

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

This lesson follows on from ‘The Analysis Process’ and the ‘Dataset cleansing in Python’ (part 1 & 2) which are available from the effini TES shop.

This lesson covers the advanced data cleansing part of the analysis process in Python (part 2 of 2), specifically,

• how to fix strings,
• how to handle missing/outlying values

Lesson content,

A PowerPoint/PDF presentation, ‘Advanced data cleansing in Python (part 2)’
2 Jupyter notebooks:

‘advanced_data_cleansing_part_2.ipynb’ (for learners)
‘advanced_data_cleansing_with_answers_part_2.ipynb’ (for teachers)
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.