Hi
@DataScience, read through the whole thread and want to thank you for all the sharing. Also hope to get your advice for my case. i'm in my early thirties, and come from a totally irrelevant field without any experience looking to break into data science / AI. I graduated from a local university with a business degree (2nd upp.) and mainly held customer/client facing roles in the finance industry for the last 7 years. Have since left the job and now doing some private tutoring.
After reading through the thread, i have laid out a simplified plan:
1) Start with Heicoders Academy AI100 to AI300
2a) Start building up Kaggle portfolio
2b) Take MOOCs or courses (Datacamp etc.) to fill in knowledge gap
3) Apply for TFIP or AISG Apprenticeship
4) Apply for entry position in industry (after traineeship/apprenticeship)
5) Apply for OMSCS after 2 years in industry
A few qn:
a) Is up to step 4 realistic for a 2 year timeline (assuming i can spare 30-40 hours a week for part 1 and 2)?
b) Is it possible to try and enter the industry after i finish step 2? Or is it better to transit via a structured program like TFIP or AISG Apprenticeship to gain some experience?
c) Can i actually apply for OMSCS earlier or is it better to only apply after at least some years in the industry?
d) Any other advice / recommendations?
Many thanks again!