More links fixed

Practical Tips/Readme.md

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 # Practical Tips for Building Machine Learning Pipelines
 * [Setting up your working environment tips](environment.md)
-* [Using github](https://github.com/dssg/hitchhikers-guide/tree/master/curriculum/git-and-github)
-* [Working with data using the unix command line](https://github.com/dssg/hitchhikers-guide/tree/master/curriculum/command-line-tools)
-* [Loading data in to databases](https://github.com/dssg/hitchhikers-guide/tree/master/curriculum/csv-to-db)
+* [Using github](https://github.com/dssg/hitchhikers-guide/tree/master/sources/curriculum/2_data_exploration_and_analysis/git-and-github)
+* [Working with data using the unix command line](https://github.com/dssg/hitchhikers-guide/tree/master/sources/curriculum/1_getting_and_keeping_data/command-line-tool)
+* [Loading data in to databases](https://dssg.github.io/hitchhikers-guide/curriculum/1_getting_and_keeping_data/csv-to-db/)
 * [Data Exploration Tips](Data%20Exploration.md)
 * Feature Generation Tips
 * Modeling Tips: [Magicloops](https://github.com/rayidghani/magicloops) - What models to use, which hyperparemeters to try,...