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

This lesson follows on from 鈥楾he Analysis Process鈥� and the 鈥楧ataset cleansing in Python鈥� (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 1 of 2), specifically,

鈥� how to convert between data types

Lesson content,

A PowerPoint/PDF presentation, 鈥楢dvanced data cleansing in Python (part 1)鈥�
2 Jupyter notebooks:

鈥榓dvanced_data_cleansing_part_1.ipynb鈥� (for learners)
鈥榓dvanced_data_cleansing_with_answers_part_1.ipynb鈥� (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.

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