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Activity Number:
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95
- Introductory Overview Lecture: Leading Data Science: Talent, Strategy, and Impact
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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JSM Partner Societies
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Abstract #330993
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Title:
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End-to-End Data Science Project Cycle, Pitfalls, and Soft Skill Gaps: An Essential Overview for Statisticians
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Author(s):
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Ming Li*
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Companies:
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Amazon
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Keywords:
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Abstract:
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Statistician are great candidates for data scientist with solid knowledge in modeling and extensive experience in data. However, to become a successful data scientist, statistician needs to get familiar with the agile-style project flow and eventually lead the end-to-end project cycle working seamlessly with business stakeholders, data engineers, software developers, and project managers. There are many ways a data science project could fail, a successful data scientist will identify and avoid these pitfalls early. In this talk, I will introduce data science project cycle, pitfalls and soft skills to bridge the gap between statistician and successful data scientist.
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Authors who are presenting talks have a * after their name.
Back to the full JSM 2018 program
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