November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Data analysis
Let's start by looking at what is known as data analysis. This is defined as a structured process undertaken to evaluate data using analytical and logical reasoning. One performs data analysis by taking the time to gather up all the data to be analyzed, breaking that data (now viewed as a data source) into chunks or components (that can be reviewed), and then drawing a conclusion based upon what is seen or found within the data. Typically, this is done in an effort to determine that a data source is useable for meeting a declared project deliverable.
There are a variety of specific data analysis approaches, some of which include data mining (discussed in Chapter 4, Data Mining and the Database Developer), text analytics, business ...
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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.