Regardless of your job, being able to negotiate is a critical skill for success. For data scientists, negotiating helps you to: Resolve conflicting views of the effectiveness of a certain model. Request more resources (i.e., $$$) for your …
The Hardest Part About Self-Teaching Data Science (or Anything Else)
Here’s something we can all relate to: Self-teaching is hard, mainly because you don’t have structure, which is key no matter what you’re learning. Structure cultivates resolve, prevents distractions, and, most importantly, creates …
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Is Business Acumen a Hard Requirement for Data Science?
I recently ran across this post on LinkedIn: A few of the follow-up comments also caught my eye (emphasis mine): You make excellent points! Maybe part of the disconnect is not knowing how to use business acumen. It is useful in all levels, but I …
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How to Become a Better Communicator
I was recently on StackExchange and Reddit and came across two interesting posts that really caught my attention. [Highlights mine.] “How can I become better on explaining the code to other developers?” “Communicating Data …
The Medicis, Idea Sex & Inside-the-Box Thinking
At its core, a business is in business to solve problems: Lawyers solve legal problems. Supermarkets provide a solution for what to eat. YouTube solves the problem of not having a central repository to watch cat videos. You get the …
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Soft vs. Hard Data
A line from a Harvard Business Review article by Thomas Redman recently caught my eye: Great data scientists are deeply curious about the data and everything surrounding it.Redman’s article resonated with me because it focuses on something that I …