Data Science - In Python, Dataset understanding (part 1 of 2)

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

This lessons follows on from ‘The Analysis Process’ lesson which is available from the effini TES shop.

This lesson covers the data understanding step of the analysis step, specifically,
• metadata and data dictionaries
• the size, shape and format of a dataset
• the data types of variables in a dataset

Lesson content,

A PowerPoint/PDF presentation, ‘Dataset Understanding in Python (Part 1)’
Jupyter notebooks:

• ‘understanding_datasets_with_answers_part_1.ipynb’ (for teachers), and
• ‘understanding_datasets_part_1.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.