I am moving from marketing into Data Science. Since I don't have a degree in the field, I am wondering about skills vs certifications. Will a professional certificate from a recognized body give me more credibility in the eyes of US hiring managers than just self-taught skills?
3 answers
For career changers in the United States, the skills vs certifications scale definitely tips toward certifications early on. When you lack a relevant degree or work history, a certification acts as a "bridge of trust." It signals to a US employer that you have at least reached a vetted level of competence. However, you must back it up with a project. If I see a resume for a Data Scientist with a certification but no Kaggle projects or GitHub repos, I'm skeptical. Use the certification to get the interview, and use your self-taught skills to prove you can actually handle the data. In the US, the "self-made" story is loved, but only if it's verified.
Since you are pivoting, have you researched which specific tools in the skills vs certifications landscape are currently trending in US-based remote roles?
I think the skills vs certifications choice is easier for pivoters: get the cert to show commitment, then build the skills to show you're a pro.
Short and sweet! I agree. The commitment part is huge for US recruiters when they see someone jumping into a totally new industry like Data Science.
Kevin, I've noticed Python and SQL are the non-negotiable skills, but having a Cloud Data Architect certification is what seems to be getting people the big interviews right now. It shows you know how to apply those skills in a modern, scalable environment.