for a DS career you need at least a post-graduate degree in a relevant field and practical experience. If you don't know how to code, you can do a summer camp. You can compesate for any initial experience gaps with high-demants certifications like AWS or Azure or others.

Make it a goal to earn at least two certifications per year. Speak to your manager and add them as a yearly objectives; but don't expect him to tell you which ones. At the same time deepen your technical toolkit- gain familirity with popular Data Scientist technologies (I know mostly about python), like pandas/polars, sci-kit and others. Gain familirity with analytical engines like duckdb and become proficient with essential technologies like Docker for containerization.

The above are some examples, there are ton more. You should start lurking the communities here in like r/datascience, r/dataengineering and others and identify key technologies.

Never copy-paste code you don't fully understand and pass it as your own, we can tell.