Data Analyst Advice I know at 30 But Wish I Knew at 20

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[@rhea2811]

just stumbled to your channel, and love ur video lighting sm

[@joshbrindley5652]

Great! Glad to hear it. Definitely put a lot into my home office haha.

[@joshbrindley5652]

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[@shaunting335]

So looking back, how would you have presented the data of shifting work hours by one hour? BTW loving your content. Let me know if you have any suggestions for books on Narrative.

[@joshbrindley5652]

Glad you're enjoying it. Looking back, starting with a bold statement was not the right approach. I thought it would be an exciting hook that makes people want to know more. If I were to do it today, I'd lead the audience to a conclusion. I'd start by setting the scene and explaining the challenges. I'd almost make it so they think of thr solution themselves. I'd also have had more analysis ready. Such as the %conversion rates per hour. Storytelling with data is a great book. And Bullsh*it: the art of skepticism is great. I have a video about that one, it's a data analyst must read. Also stay tuned for some data narrative content I have schuled to release

[@Einstein-360]

Nice video Please which books 📚 would you recommend for Data analysts

[@joshbrindley5652]

1. Bullsh*it: the art of skepticism 2. Storytelling with data 3. Effective data storytelling 4. Any books on the domain you want to work in and general business books.

[@Einstein-360]

@@joshbrindley5652 Thank you The domain I want to work in is the oil and gas Industry, any tips on it.

[@blessinguche9957]

Please how can I get domain books on healthcare, education.

[@joshbrindley5652]

By domain I mean learn about that area, not specifically data analysis in that area. I've been in both Education and health care. In Education there's surprisingly so much depth you wouldn't initially think about. But learn about measuring student outcomes, and the myriad factos that influence progress and attainment.

[@joshbrindley5652]

I've never worked in there. Sounds exciting though. Don't look for resources on data analysis in oil and gas, but resources about that industry. If you know more about it, you'll understand more and be able to do better analysis.