Many teams collect strong data and build detailed reports, but decision-makers still struggle to act on them. Structure, framing, and clarity often matter more than the volume of metrics.

At a high level, how do experienced teams think about organizing analytics outputs around decisions rather than data? What principles help ensure reports stay focused, readable, and useful as complexity grows?

Would love to hear perspectives from people who have built or scaled analytics functions.

Hi everyone,
I’m considering to make a career change into data analysis and recently completed the Google Data Analytics Certificate on Coursera. While it was a solid introduction, I found that it didn’t go very in-depth on tools like SQL, Excel, Tableau, or R.

My Coursera membership has expired. While I am open to signing up again I was curious if there are other websites you would recommend instead? I know its free on Youtube but I prefer a more structure learning course.

Thank you for any help you can provide!