Some of the sample code in this curriculum is contained in Google Colab Notebooks. Not all Google for Education, or other Google infrastructure suites, have Google Colab Notebooks enabled by default. In general, for schools teaching computing, it is beneficial to enable Google Colab Notebooks for students and educators. That can be accomplished through the Google admin console by following these steps: https://support.google.com/a/answer/11254550. Additional information is available in the Google Colaboratory FAQ.
Based on the three curricula evaluated, the units of a possible data science course might be something like:
Introduction: who are data scientists (including basic tools / data types / visualization / 'data cycle')
Data: gathering / analyzing / visualizing
Statistics: modeling the world with data mathematically
Play: transforming data (sort, filter, transform, identify patterns / trends)
Ethics: using data responsibly (ethics / privacy / bias)
These units are sequenced from https://bootstrapworld.org/materials/data-science/ as an example. They can include https://numpy.org/, https://pandas.pydata.org/, https://matplotlib.org/, https://seaborn.pydata.org/, https://scikit-learn.org/, and datasets Data.world, Kaggle, Data.gov, Datahub.io, GitHub, Google, etc. listed in Datasets.