Data Science in the Wild (2 of 4 Sketchnotes added)

6-Data-Science-In-Wild/20-Real-World-Examples/README.md

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 # Data Science in the Real World
 
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+|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-RealWorld.png)|
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+| Data Science In The Real World - _Sketchnote by [@nitya](https://twitter.com/nitya)_ |
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 We're almost at the end of this learning journey!
 
 We started with definitions of data science and ethics, explored various tools & techniques for data analysis, reviewed the data science lifecycle, and looked at scaling and automating data science workflows with cloud computing services. 
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 ## Digital Humanities: Poetics 
 
+|![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-Humanities.png)|
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+| Data Science & Digital Humanities - _Sketchnote by [@nitya](https://twitter.com/nitya)_ |
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 Digital Humanities [has been defined](https://digitalhumanities.stanford.edu/about-dh-stanford) as "a collection of practices and approaches combining computational methods with humanistic inquiry". [Stanford projects](https://digitalhumanities.stanford.edu/projects) like _"rebooting history"_ and _"poetic thinking"_ illustrate the linkage between [Digital Humanities and Data Science](https://digitalhumanities.stanford.edu/digital-humanities-and-data-science) - emphasizing techniques like network analysis, information visualization, spatial and text analysis that can help us revisit historical and literary data sets to derive new insights and perspective.
 
 *Want to explore and extend a project in this space?*