Background: I'm 37 and discovered data analytics through Google's Data Analytics certification last year. I've learned the basics of SQL, R, and Tableau, created several portfolio projects, and recently started learning Python. I find immense satisfaction in working with data tools and creating meaningful insights.

Current situation:

• Completed Google Data Analytics certification
• Basic knowledge of SQL, R, and Tableau
• Beginning to learn Python
• Created several portfolio projects
• Looking to transition into Data Science with remote work possibilities

Key questions for the community:

1. Given my background, would pursuing a formal degree (BS/MS in Data Science) be more valuable than continuing self-study?
2. With current AI tools making coding more accessible and numerous online resources available, how important is formal education in today's data science landscape?
3. Beyond Python, what core skills should I prioritize in my learning journey?
4. For those who've successfully transitioned into the field: how did your educational background (formal vs self-taught) impact your job search?

I'm prepared to fully commit to this career change and would greatly appreciate insights from experienced professionals, particularly those who've made similar transitions.

Thank you for your guidance!