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What Is Data Science? by [Loukides, Mike]
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What Is Data Science? Kindle Edition

4.5 out of 5 stars 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: 1589 KB
  • Print Length: 25 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (April 10 2011)
  • Sold by: Amazon Digital Services LLC
  • 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 2 customer reviews
  • Amazon Bestsellers Rank: #8,155 Free in Kindle Store (See Top 100 Free in Kindle Store)
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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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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 4.2 out of 5 stars 65 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 Amazon.com
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
4.0 out of 5 stars A solid overview Nov. 16 2013
By Daryl A. Welsh - Published on Amazon.com
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 Amazon.com
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 Amazon.com
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
4.0 out of 5 stars Good brief summary of a massive topic May 26 2016
By A Customer - Published on Amazon.com
Format: Kindle Edition Verified Purchase
I got this for free as an ebook on Kindle and I felt it worth the small investment of time. This text was a good little summary over a very large and complex subject, which is what I expected it to be. I'm still new to the subject of data science, but I think this is a good addition to the start my journey to build my knowledge and skill set in this fascinating and ever increasingly important profession.

Aside from the core subject matter and summarized format, I specifically enjoyed the references to other material on some of the related subtopics.

There were some minor grammatical errors that I noted, which could've been related to its ebook format. However, I didn't find it overly distracting and take away from the text itself.