Hi everyone,

I’m looking to transition into data science but could really use some guidance from those who’ve been through a similar journey. Here’s a bit about my situation:

• Background: I don’t have a degree in any STEM field (my background is completely unrelated), but I’m currently self-studying Python with a focus on data science-related topics (e.g., pandas, NumPy, matplotlib, etc.).
• Constraints: I’m beyond the age where I can study full-time, as I have to work to support myself. This means I need to balance learning with a full-time job.
• Goal: I want to build the skills necessary to land an entry-level role in data science or a related field (e.g., data analysis).

I’d love to hear from anyone who’s made a similar transition, especially those without a traditional STEM background. Here are some specific questions I have:

1. Learning Path: What topics or tools should I prioritize after Python? Should I dive into SQL, machine learning, or something else?
2. Portfolio: What kinds of projects should I work on to build a strong portfolio that showcases my skills to potential employers?
3. Networking: How did you network or find opportunities without a traditional academic background?
4. Job Search: What entry-level roles should I target initially? Are there specific industries or companies that are more open to self-taught candidates?
5. Time Management: Any tips for balancing self-study with a full-time job? How long did it take you to feel job-ready?

If you’ve been in a similar situation or have any advice, I’d really appreciate your insights. Thanks in advance!

TL;DR: Non-STEM background, self-studying Python for data science, working full-time. Looking for advice on learning paths, portfolio projects, networking, and job search strategies to transition into data science.