March 2016
Intermediate to advanced
408 pages
12h 50m
Portuguese (Portugal, Brazil)
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Sumário
1. Introdução: Pensamento Analítico de Dados
A Onipresença das Oportunidades de Dados
Exemplo: Prevendo a Rotatividade de Cliente
Data Science, Engenharia e Tomada de Decisão Orientada por Dados
Processamento de Dados e “Big Data”
De Big Data 1.0 para Big Data 2.0
Dados e Capacidade de Data Science como um Ativo Estratégico
Data Mining e Data Science, Revistos
Química Não se Trata de Tubos de Ensaio: Data Science Versus o Trabalho do Cientista de Dados
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.