What is Data Science?

Data Analysis with Open Source Tools. This book shows you how to think about data and the results you want to achieve with it. Head First Data Analysis

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What is Data Science? The future belongs to the companies and people that turn data into products
Where data comes from… 3
Working with data at scale… 5
Making data tell its story … 7
Data scientists… 8
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.
Google is a master at creating data products. Here are a few examples:

  • Google\’s breakthrough was realizing that a search engine could use input other than the text on the page.
  • Spell checking isn\’t a terribly difficult problem, but by suggesting corrections to misspelled searches, and observing what the user clicks in response, Google made it much more accurate.
  • Speech recognition has always been a hard problem, and it remains difficult.
  • During the Swine Flu epidemic of 2009, Google was able to track the progress of the epidemic by following searches for flu-related topics.

One of the first commercial disk drives from IBM. It has a 5 MB capacity and it\’s stored in a cabinet roughly the size of a luxury refrigerator. In contrast, a 32 GB microSD card measures around 5/8 x 3/8 inch and weighs about 0.5 gram.

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