I believe the value of data science could reach a incredible level if we eliminate clear boundaries between different roles in a data science team. Every analyst is able to code and modeling, while every statistician is able to manipulate data and visualize data. Besides staying passionate about learning, another good way is solving problems in work or on your own side projects. In this section, I would like to talk about the concept of a unicorn in data science, the skill sets, and a few practical problems.
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[2017 臺灣資料科學年會]Being a Unicorn in Data Science through Problem Solving
1. Being a Unicorn in Data Science
through Problem Solving
Yao?JenKuo
November1st2017