I’m very pleased to have completed my second data science course! Whereas the first one, Data Science A-Z, was very hands-on about doing the analysis yourself, this course takes a higher-level view of what executives need to know to manage a data science team.
What I found very interesting was learning about the epicycles of data analysis. There are five core activities of data analysis, which can occur at different time scales, from one day to many months:
- Stating and refining the question
- Exploring the data
- Building formal statistical models
- Interpreting the results
- Communicating the results
At a higher level of abstraction, this isn’t very different from figuring out a new strategy. Well, except for the formal statistical models, which are financial models for a strategy.
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