zip, 9.96 MB
zip, 9.96 MB

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

This lesson covers how to create new variables by calculations in Python (part 1 or 2), specifically,

Creating new calculated variables, where the calculation that is used is the same for each row in the dataset.

Lesson content,

• A Powerpoint presentation, ‘Creating new variables by calculation in Python part 1’
• Jupyter notebooks:
o ‘creating_variables_by_calculation_with_answers_part_1.ipynb’ (for teachers), and
o ‘creating_variables_by_calculation_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 sucess 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.

Creative Commons "Sharealike"

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