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[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio
DataFramed
The Top 4 Mistakes People Make When Creating a Data Science Portfolio Project
The four big reasons people's portfolio projects suck. People pick a boring idea, they don't want to see something that they've heard of before. A good gift, a good inphographic, goes a long way. If you just went to an average technical recruiter and said, oh, i worked on this p solved it, they wouldn't know what the problem was. They'd think those secondary signals are only important for fast track jobs. It would be one of the biggest things you could do in the next hundred years if you could solve this problems. But let's focus first on the top things people need to avoid when creating portfolio project.
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