Practitioner’s Guide to Data Science

This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum.

Hui Lin is currently a Lead Quantitative Researcher at Shopify. She holds MS and Ph.D. in statistics from Iowa State University. Hui had experience across different industries (traditional and high-tech). She worked as a marketing data scientist at DuPont; the first data hire at Netlify to build a data science team, and a quantitative UX researcher at Google. She is the blogger of https: //scientistcafe.com/ and the 2023 Chair of Statistics in Marketing Section of American Statistical Association.

Ming Li is currently a Research Science Manager at Amazon and an Adjunct Instructor of University of Washington. He was the Chair of Quality & Productivity Section of American Statistical Association for 2017. He was a Data Scientist at Walmart and a Statistical Leader at General Electric Global Research Center. He obtained his Ph.D. in Statistics from Iowa State University at 2010. With deep statistics background and a few years’ experience in data science, he has trained and mentored numerous junior data scientist with different background such as statistician, programmer, software developer and business analyst. He was also an instructor of Amazon’s internal Machine Learning University and was one of the key founding members of Walmart’s Analytics Rotational Program.