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This section is for after you finish the Data Track. It collects free technical resources to keep your skills sharp, prepare for interviews, and learn the topics the track only touched on.
If you feel unsure about one of the weeks, your first step should always be to go to each week's 'Extra reading' and 'Going Further' pages, which are the best place for topic-specific follow-ups. The pages covered here give some extra links that don't fit necessarily in a week or were not covered.
<aside> 💡 Our main recommendation: keep building your own projects and put them on GitHub. Make use of free tier tools such a Github Actions, Databricks Free, locally hosted Airflow etc. Pick a dataset, build a small pipeline, and see Projects, Python and Datasets to get started.
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