What advice would you give to data scientists?
M.K. – I get asked a variation of this question in workshops and events. And I think it’s so personal. What I would recommend is to really understand your own personality, and yourself. Like, “What are your strengths and weaknesses?”, and get really clear. So, when it comes to data science, I really struggle with some of the higher math. I find that the really complicated mathematics is tough so I tend to focus more on learning that stuff. But for other people, they would struggle with programming, so they have a hard time writing Python, so have a hard time with that. It really depends on the person. So I very much recommend the approach of taking programming, mathematics, statistics, communication, and really rank yourself as to “Am I good at those?” and from there, start to work to improve yourself. So work on the weaknesses and lean on the strengths.
We are all different, we all have different gifts to bring to the world, and strengths and weaknesses. And I think it is better to know that.