Ask HN: Which new skills for a data science career?
by dsbyaccident on Hacker News.
Hi HN, long time lurker with a throwaway here: I recently quit academia (social sciences) and I plan to transition into a data science career within the next year or so. This is the part I liked about my academic job and the stuff I am good at (statistics, analytical problem solver, data wrangling/modeling). Reading through job ads the technical skill palette for DS seems overwhelming: python (+pandas, scikit, …), R, docker, k8s, PowerBI, Tableau, PostgreSQL, DevOps/pipelines, different cloud providers, maybe add some javascript, various ML toolkits (Tensorflow, etc.). I have 15 years of experience as a statistician (R/STATA/Linux/SQL) and a sabbatical year in front of me, which new skill(s) should I learn/prioritize? Edit: I have a PhD. Thanks!