← All categories

Category

Learning & Careers

Practicing analysis, finding your place in data, and growing through the human side of the work.

For people learning the work, building a career, or helping others develop.

Reading guide

What questions are we asking?

Growing as a data professional means practicing judgment and learning to work with people. The technical exercise, the interview, and the message to someone you admire all benefit from a clear purpose and an honest account of what you know.

  • What should analytical practice teach beyond syntax?
  • How do you evaluate your first data role?
  • How can you approach someone on LinkedIn with a useful question?

A suggested reading path

  1. Practicing Data Analysis Is Broken Too (Not Just Hiring)

    Consider whether your practice includes ambiguity, validation, and tradeoffs.

  2. First Data Job Interviews

    Prepare questions about the team, the work, and how your time is treated.

  3. How to approach people you don't know on LinkedIn

    Use the Inigo Montoya structure to introduce yourself and make a specific request.

  4. The Imposter Syndrome

    Read a personal perspective on uncertainty and professional self-doubt.

Try it at work

Choose your next practice task and write down one judgment call you want to improve. After solving it, review that choice as carefully as whether the code ran.

All essays in this category

Learning & Careers

The Imposter Syndrome

A personal perspective on imposter syndrome in data careers, comparing yourself with colleagues, and talking openly about what you do not know.

Read the essay