In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the limitations of data science skills. They explore the various aspects of data science and what it truly means to be a data scientist. They touch upon the importance of understanding the scientific method and how it applies to data science. The conversation also delves into the misconception that data science is the sole focus of a data scientist’s work, highlighting the significant role of data engineering, data analysis, and programming skills. They emphasize that data science cannot exist in isolation and requires a strong foundation in other disciplines. The episode concludes with advice for individuals considering a career in data science, encouraging them to focus on their interests and strengths. Overall, the discussion sheds light on the complexity and interdisciplinary nature of data science, challenging common misconceptions about the field.

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In this week’s In-Ear Insights, let’s talk about the limitations of data science skills, what you can and can’t do with data science.

So, Katie, when you hear this topic, what is it that that comes to mind? What are the things that you want to know, particularly someone who is not by trade a data scientist?

You know, it’s interesting, because when I hear limitations of data science skills, I immediately think soft skills.

And I’m guessing you’re thinking hard skills.

And so I guess it’s a conversation, I guess there’s a couple of conversations we can have is, you know, what should and should you not use data science for? You know, do you need to be a data scientist to set up your Google Analytics? Probably not? Do you need to be a data scientist to set up your large learning model? Probably.

And so understanding the skill sets of a data scientist, but sort of like, when I hear the question, I’m thinking beyond the standard data science skill sets of, you know, is the limitation of a data scientist, that typically they’re not a great communicator, or typically, a data scientist isn’t a leader, which I know is not true.

But you know, it’s not the rule.

So that’s sort of what I’m thinking.

But what do you think of when you hear that question?