October 2020
Beginner to intermediate
448 pages
15h 6m
English
book
Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
by Joanne Rodrigues
Content preview from Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
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14. Metrics in R
The goal of the R portion of this book (Chapters 14–16) is not to teach R as a programming language, but through the command line for simple statistical analysis—how it’s most commonly used in an analytics capacity. The R version used in Chapters 14–16 is R version 3.5.3 (2019-03-11), the Great Truth.
In this introductory R chapter, we’ll do the following:
Install R and RStudio.
Learn the basics of R and RMarkdown.
Create and analyze statistical distributions.
Review metric creation.
In this chapter, we’ll review the basics of R programming in combination with the concepts from Chapter 4 in R—that is, statistical distributions and metrics. Later chapters will go over implementation of A/B testing, prediction, causal inference ...
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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.