12.6.2: Critical Thinking Questions
- Page ID
- 58348
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Critical Thinking Questions
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A team debates: "Should we standardize on Python or R for all analytics?" Argue for a pragmatic approach where both coexist. What are each language's strengths, and how can they complement each other?
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Your company's analysts all use Excel. You want to introduce Jupyter Notebooks. How would you make the case? What's the adoption strategy to transition analysts who have never written code?
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SQL window functions are powerful but complex. A junior analyst asks: "Why not just do this calculation in Python after pulling the data?" When is it better to compute in SQL (at the database) vs. in Python (after extraction)?


