Sketchnotes added to Lesson 20

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

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 ## Data Science + Research
 
+| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-Research.png) |
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+|              Data Science & Research - _Sketchnote by [@nitya](https://twitter.com/nitya)_              |
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 While real-world applications often focus on industry use cases at scale, _research_ applications and projects can be useful from two perspectives:
 
 * _innovation opportunities_ - explore rapid prototyping of advanced concepts and testing of user experiences for next-generation applications.
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 ## Data Science + Sustainability
 
+| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-Sustainability.png) |
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+|              Data Science & Sustainability - _Sketchnote by [@nitya](https://twitter.com/nitya)_              |
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 The [2030 Agenda For Sustainable Development](https://sdgs.un.org/2030agenda) - adopted by all United Nations members in 2015 - identifies 17 goals including ones that focus on **Protecting the Planet** from degradation and the impact of climate change. The [Microsoft Sustainability](https://www.microsoft.com/en-us/sustainability) initiative supports these goals by exploring ways in which technology solutions can support and build more sustainable futures with a [focus on 4 goals](https://dev.to/azure/a-visual-guide-to-sustainable-software-engineering-53hh) - being carbon negative, water positive, zero waste, and bio-diverse by 2030.
 
 Tackling these challenges in a scalable and timely manner requires cloud-scale thinking - and large scale data. The [Planetary Computer](https://planetarycomputer.microsoft.com/) initiative provides 4 components to help data scientists and developers in this effort: