There is a wide gap between University and real-world in regards to Data Science. Non-technical skills are equally important to become a Data Scientist. Below skills plays a major role in order to work as a Data Scientist. For more details, please check this link
✔️ Understanding the business problem
✔️ Teamwork
✔️ Being A Good Listener
✔️ Documentation
✔️ Agile environment
✔️ Storytelling
✔️ Creativity in showing the output
✔️ Ask for help
✔️ Passion
✔️ Keep Learning!
✔️ Using Version Control
✔️ Coding
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Hi sdhilip,
Although I agree that there is a gap between research (University) and "real-world" I don't think that the gap is that wide.
The only things that were not really present at University for me was the following three things:
✔️ Understanding the business problem
✔️ Agile environment
✔️ Storytelling
In contrast, the rest was infact part of my University time:
✔️ Teamwork
✔️ Being A Good Listener
✔️ Documentation
✔️ Creativity in showing the output
✔️ Ask for help
✔️ Passion
✔️ Keep Learning!
✔️ Using Version Control
✔️ Coding
If you manage to study something CS related and never have any touchpoints with VCS then I'd put that on the category of "flaw in the study plan" or something similar rather than "this is just the difference between research and industry".
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