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12.6.2: Critical Thinking Questions

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    58348
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    Critical Thinking Questions

    1. 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?

    2. 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?

    3. 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)?


    This page titled 12.6.2: Critical Thinking Questions was last modified on Wed, 10 Jun 2026 23:40:07 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Felix Amoruwa.

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