5 Things to Consider Before Transitioning to Data Science
5 Things to Consider Before Transitioning to Data Science

Abstract: 

The idea of pursuing a career in data science can be overwhelming when you first started, especially with the information overload in this era. This talk presents an industry perspective on the factors to consider. It breaks down the input to your decision into 5 dimensions: "The Drive", "the Technical Skills", "The Soft Skills", "The Preparation", "The Industry", walks you through the framework with examples, and aims to help you get mentally prepared for the career ahead of you.

Bio: 

Fan Yang is a data science manager at Uber. He has 11 years of experience in analytics and mathematical modeling, and 6 years of experience in the data science industry. He has been taking roles of hiring manager, interviewer, data scientist mentor, and conference speaker throughout his career.