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Learning path · 2 parts

Data Thinking Series

Learn how experienced Data Scientists think before they write code. The mindset behind data analysis, machine learning and AI: instead of memorising Python, SQL or Pandas commands, you learn how professionals ask questions, understand business problems, validate data, and make better decisions in the age of AI.

  1. 1

    The First Question Every Data Scientist Asks: What Does One Row Represent?

    A falling average order value triggered a discount review. The arithmetic was right and the table was wrong. Why the grain of a table decides whether every metric built on top of it is true.

    12 min read

  2. 2

    AI Won't Replace Data Scientists. It Will Replace Lazy Ones.

    AI writes the Python, the SQL and the first draft of the dashboard. It cannot attend your meetings, choose your metric, or be accountable for the decision. A working division of labour, and a churn model that failed for none of the reasons you would expect.

    11 min read

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