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What Is Data Science? [Kindle Edition]

Mike Loukides
4.5 out of 5 stars  See all reviews (2 customer reviews)

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Product Description

Product Description

We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.

Product Details

  • Format: Kindle Edition
  • File Size: 451 KB
  • Print Length: 25 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (April 10 2011)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B007R8BHAK
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: #11,486 Free in Kindle Store (See Top 100 Free in Kindle Store)
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Customer Reviews

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Most helpful customer reviews
4.0 out of 5 stars Good as a summary introduction to the topic Jan. 13 2014
Format:Kindle Edition|Verified Purchase
For a free book it is very interesting and worth a read but it is more of a summary or a glimpse into what would and should be a very extensive piece of work. It does serve to be a thought provoking introduction to the subject and is worth a read if you are new to the subject.
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5.0 out of 5 stars Five Stars Nov. 29 2014
By Keyu Wu
Format:Kindle Edition|Verified Purchase
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Most Helpful Customer Reviews on (beta) 4.2 out of 5 stars  48 reviews
5 of 5 people found the following review helpful
5.0 out of 5 stars excellent abstract Aug. 20 2013
By Andres Vesga - Published on
Format:Kindle Edition|Verified Purchase
Good, short review answering it's title. Several important resources are cited. Interesting commentary of who makes a good data scientist
2 of 2 people found the following review helpful
5.0 out of 5 stars Good Introduction for Beginners Jan. 20 2014
By Dr. Bojan Tunguz - Published on
Format:Kindle Edition|Verified Purchase
"Data Science" and "Data Scientists" are the buzzwords that have been floating around for a few years now. Many of us who are either outsiders or ar on the outskirts of the information technology industry have not been quite sure of what they mean. They seem to have something to do with statistics, databases, and software development, but it's not quite clear in what way.

This short book tries to explain what is meant by "Data Science." It is written from the perspective of information technology industry, and Silicon Valley in particular. Data Science has developed as a reaction of most Internet giants (Google, Amazon, Facebook, etc.) to the particular needs of their businesses, and to collection and manipulation of enormous amounts of data distributed over thousands of computers in particular. This short ebook gives several examples of particular industry problems that data science addresses, and provides numerous links and references to the tools that have been developed for those tasks.

This ebook is written with the beginners in mind, but it does assume familiarity with software and other IT topics. It's well written and informative as far as it goes, but it doesn't provide much in terms of how to get into the whole data science game. Furthermore, as it was written and first published in 2011 it is probably pretty dated by now (2014). Nonetheless, it's still a pretty good read.
1 of 1 people found the following review helpful
4.0 out of 5 stars A solid overview Nov. 16 2013
By Daryl A. Welsh - Published on
Format:Kindle Edition|Verified Purchase
This short ebook provided a great intro to Data Science for those unfamiliar at all with the topic.

One particularly valuable thing I appreciated was the links to many open source tools.
1 of 1 people found the following review helpful
4.0 out of 5 stars Nice Intro to the 'White Science' of Big Data Aug. 27 2013
By Christopher A. Leach - Published on
Format:Kindle Edition|Verified Purchase
Though its organization was somewhat convoluted, I found much poignant information there. I did also find a lot of spelling and syntax errors, which somewhat distracted from its message.
1 of 1 people found the following review helpful
5.0 out of 5 stars Need a starting point for Big Data? May 11 2013
By Mario - Published on
Format:Kindle Edition|Verified Purchase
This little book is well put and covers main topics. if you are just starting on Big-Data or new to Data Analytics this is the one to start with
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