Starting a Data Science Project! How Do We Begin?

on YouTube ↗38m

" summary

How to set up a data science project from scratch for an organization: assemble a cross-functional dream team, pick an agile methodology (Kanban, Scrum, etc.), run a discovery phase using design thinking, plan for algorithm adoption, and set up monitoring of the value generated.

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" chapters (12)

1. 0:00Introduction
2. 3:10What is a data scientist?
3. 7:02Data science context
4. 10:55Three pillars of data science
5. 15:13Project failure reasons
6. 18:21First step in real project
7. 21:52Define KPIs and goals
8. 22:55MVP and agile development
9. 24:57Agile methodologies in data science
10. 25:58Importance of documentation
11. 27:00Useful vs perfect models
12. 28:03Q&A

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