![]() ![]() Maybe they like the idea of doing data-science (and believing it comes with a good paycheck?) more than they like the field. There are plenty of online courses from Udacity/Coursera/Datacamp and others to get started with. I personally like An Introduction To Statistical Learning With Applications in R. Resources for interview prep include ML Interview Prep, Kaggle, Leetcode, Hackerrank, blogs with sample questions like Analytics Vidhya and KDNuggets.įor those who are just starting, there are more resources than ever before. Resumes must list all the key data science skills, past work experience using data science, and value delivered. To get the job, two things matter most, the resume and interview. Come interview time, you would regret thinking that! It is not something one picks up in a 2 week bootcamp. Data science requires at minimum strong coding skills in SQL/Python/R, data visualizations, machine learning algorithms theory and implementation, and statistics. I understand people who want to change fields and become data scientists. I can understand someone working a job they're dissatisfied with wanting to change careers, and like I said, I encourage it, but I'm wondering where the idea of this being an easy thing to do is coming from, and a tad worried that some (but certainly not all) seem to have a disregard of the underlying math and CS.ĮDIT: This post is blowing up so I just want to be clear that I'm not trying to discourage anyone or look down on anyone who is genuinely putting in the work, be it via traditional or non-traditional means. I encourage them, but like, you wouldn't consider becoming an engineer without an engineering background, you wouldn't consider becoming a cell biologist without a biology background. ![]() So far they've been interesting and I've engaged in some good discussions, but one thing that I've noticed is the sheer amount of people who ask something like "I have no math or computer background, how do I get into data science?" I'm not trying to be elitist, because I think the field has room for everyone, and we need more data literacy in general. A while back I got sick of the politics on facebook, so I joined some data science groups to see things I'm actually interested in when I log on. ![]()
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