May 2015
Beginner to intermediate
225 pages
13h 46m
English
book
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
by Thomas W. Miller
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B. Marketing Data Sources
Doing marketing data science means working with many data sources. There is the World Wide Web, a path to extensive secondary research data. We work with corporate databases. And we are often asked to engage in primary research, running experiments and conducting surveys. Which is to say that marketing data science is preceded by data collection.
It is a mistake to think that managers demand information per se. What they demand is the right information. They want information reduced and synthesized, information that is directly relevant to decisions at hand.
How do we find our way to the right information? Through a variety of methods, including online searches, library and secondary research, and primary research. We ...
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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.