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Challenges Ahead: Being A Unicorn in Data Science through Problem Solving

演講摘要

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 to 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.

講者簡介

郭耀仁
  • 郭耀仁 個人網站
  • Kyosei.ai / Co-founder
  • 郭耀仁畢業於臺灣大學商學研究所,是資料科學與推廣教育的愛好者,目前是新創團隊 Kyosei.ai 的共同創辦人之一,在臺大資工系統訓練班開設多門 R 語言與 Python 的資料科學相關課程,亦與企業合作提供客製化的內訓課程。在 Kyosei.ai 之前任職過上海的新創團隊、台北的軟體公司與銀行,閒暇時喜歡長跑與乒乓球;著有 R 語言使用者的 Python 學習筆記系列文,是 2017 iT 邦幫忙鐵人賽 Big Data 組冠軍,著有輕鬆學習 R 語言一書,由碁峰出版社出版。

歡迎在此登錄您的大名及電子郵件地址,日後任何台灣資料科學協會舉辦的相關活動,我們將會以電子郵件通知您。謝謝。