How do you keep your data skills current and decide what to learn next?

How you learn: working on real problems rather than tutorials, because clean tutorial datasets teach none of the skills that matter. Beyond that, documentation and release notes for the tools you use, and reading other people's analysis critically.

How you decide what to learn:

• Fundamentals repay more than tools. SQL, statistics, and knowing how to frame a question have not changed and will not. Most analytical errors are reasoning errors, not tooling errors.
• Learn what your bottleneck is. If you are limited by data access, learn more SQL and data modelling. If you are limited by people not acting on your work, learn communication and visualisation. Learning a new modelling technique rarely addresses either.
• Follow the direction of the role. Analytics engineering, version control, and testing practices have moved from software into data work, and they are increasingly expected.

Note: A credible and refreshing answer is that most business value comes from clean data and well-framed simple analysis rather than sophisticated methods. Being able to say you deliberately chose the simpler approach shows judgement, which is harder to teach than technique.