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D a t a S c i e n c e
Data-driven business development
- Define hypothesis to test
- Deep-dive into datasets and trend analysis
- Design usage strategy and product integration
DS analysis
(20 hours) Exploratory analysis towards validation of a business hypothesis.
Data science project management
- Define success criteria
- Data cleaning strategy
- Technical support (refactoring, API design)
- Design user feedback loop
- Deployment strategy (A/B testing)
Modelling
(4 hours) review tooling and processes, evaluate quick-wins and best practices to implement
DS mentoring
(10 hours) design a proper methodology for rolling out your model ensuring return on investment
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