Here are some useful resources developed with partners or personal experiences.
If you are interested in learning more about data science and different techniques this free course provides both a general understanding of key terminology and also usage of open source packages like python and Jupyter Notebook.
It is not necessary to have a powerful computer to run heavy Machine learning models. There are several cloud solutions available running Jupyter notebooks. To start experimenting here is a free option. Combined with the Fast.ai course it is a nice combination.
If you are less of a programmer but prefer a visual based tool with easy to use interface with many sample projects an alternative is KNIME which is free when installing on the PC.
Anonymizing private data is important either when storing or when sharing. These are some tools to help not only in the anonymization but also risk assessment. The risk assessment helps understand how safe is the anonymization or generalization to avoid re-identification.
The tools used in KNIME were based on Arx, an open source project.