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Building Data Science Teams.
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Building Data Science Teams; 1. Building Data Science Teams; Being Data Driven; The Roles of a Data Scientist; Decision sciences and business intelligence; Product and marketing analytics; Fraud, abuse, risk and security; Data services and operations; Data engineering and infrastructure; Organizational and reporting alignment; What Makes a Data Scientist?; Hiring and talent; Would we be willing to do a startup with you?; Can you "knock the socks off" of the company in 90 days?; In four to six years, will you be doing something amazing?; Building the LinkedIn Data Science Team; Reinvention.