November 2018
Beginner to intermediate
420 pages
10h 4m
English
book
Hands-On Data Science with R
by Doug Ortiz, Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
Content preview from Hands-On Data Science with R
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Key components of data science
The practice of data science requires the application of three distinct disciplines to uncover insights from data. These disciplines are as follows:
- Computer science
- Predictive analytics
- Domain knowledge
The following diagram shows the core components of data science:
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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.