analyzing-the-analyzers

Table of Contents1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12. Case Studies in Miscommunication. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Rock Stars and Gods 5Apples and Oranges 63. A Survey of, and About, Professionals. . . . . . . . . . . . . . . . . . . . . . . . . . . 9Clustering Data Scientists 10Self-Identification 10Skills 11Combining Skills and Self-ID 12The Variety of Data Scientists 14Data Businesspeople 14Data Creatives 15Data Developer 15Data Researchers 16Big Data 16Related Surveys 174. T-Shaped Data Scientists. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Evidence for T-Shaped Data Scientists 205. Data Scientists and Organizations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Where Data People Come From: Science vs. Tools Education 23From Theory to Practice: Internships and Mentoring 24Teams and Org Charts 25iii