In this video, I will be showing you a FREE data resource (tons of FREE data) that will allow you to practice and hone your data science skills particularly data wrangling (data pre-processing, data preparation, etc.), data visualization and model building.

This data resource is called the TidyTuesday which is a weekly social data project borne out of the R for Data Science (R4DS) book and the R4DS Online Learning Community. Every week a new dataset is released on TidyTuesday that aspiring data scientists can leverage to practice and hone their data science skills.

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⭕ Links for this video:
TidyTuesday:
✅ [ Ссылка ]

Although the data resource is provided by the R community, the dataset could readily be used in any programming language. This data resource can definitely be used in a Python data science environment. For example, the Coffee Ratings dataset can be accessed directly from the following URL:
✅ [ Ссылка ]
whereby the above URL can be found under the heading "Get the data here" from the main page of the Coffee Ratings data:
✅ [ Ссылка ]
(The same concept applies for all other datasets provided by TidyTuesday.

⭕ Playlist:
Check out our other videos in the following playlists.
✅ Data Science 101: [ Ссылка ]
✅ Data Science Virtual Internship: [ Ссылка ]
✅ Bioinformatics: [ Ссылка ]
✅ Data Science Toolbox: [ Ссылка ]
✅ Streamlit (Web App in Python): [ Ссылка ]
✅ Shiny (Web App in R): [ Ссылка ]
✅ Google Colab Tips and Tricks: [ Ссылка ]
✅ Pandas Tips and Tricks: [ Ссылка ]
✅ Python Data Science Project: [ Ссылка ]
✅ R Data Science Project: [ Ссылка ]

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⭕ Recommended Books:
✅ Hands-On Machine Learning with Scikit-Learn : [ Ссылка ]
✅ Data Science from Scratch : [ Ссылка ]
✅ Python Data Science Handbook : [ Ссылка ]
✅ R for Data Science : [ Ссылка ]
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: [ Ссылка ]
✅ AI Superpowers: China, Silicon Valley, and the New World Order: [ Ссылка ]

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