From the course: 15 Mistakes to Avoid in Data Science

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Failing to adopt new tools

Failing to adopt new tools

From the course: 15 Mistakes to Avoid in Data Science

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Failing to adopt new tools

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- So something I've seen happen as a consultant and as someone, you know, in the data science world, is people tend to find certain tools and technologies that they really like, and that they know really well, and they kind of become experts in. And then every new problem they hear or every new client they encounter, they automatically want to recommend this tool or this technology because they know it's worked, you know, it worked in the past and they know how to do it and feel comfortable with it. It's kind of getting into a comfortable routine when you're getting asked similar questions even though they might be different. One big problem with using that approach is that if something better comes out into the market, or if there's a new technology or a platform that actually improves upon the tool that you found you like, you're kind of writing that off, and I think that's a huge (mumbles) of being able to, you know,…

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