[PyAR2] Fwd: UG News: Data Science Starter Kit - The Tools You Need to Get Started with Data

Greg Lindstrom gslindstrom at gmail.com
Wed Nov 9 13:47:37 CET 2011

This is from our friends at O'Reilly Publishing.  They always support
pyArkansas, so give them a look, please.

---------- Forwarded message ----------
From: Marsee Henon & Jon Johns <usergroups at post.oreilly.com>
Date: Wed, Nov 9, 2011 at 3:00 AM
Subject: UG News: Data Science Starter Kit - The Tools You Need to Get
Started with Data
To: gslindstrom at gmail.com


View in browser<http://post.oreilly.com/rd/9z1zp3gluihsdq1rb4ov1aq2423lgqlb63plh7okia0>

*Forward this announcement to your user group or a
  [image: O'Reilly Books and
Strata: Making Data Work]
Data Science Starter Kit The Tools You Need to Get Started with Data

This kit includes everything you need *from analysis, visualization, to

*"The success of companies like Google, Facebook, Amazon, and Netflix, not
to mention Wall Street firms and industries from manufacturing and retail
to healthcare, is increasingly driven by better tools for extracting
meaning from very large quantities of data. 'Data Scientist' is now the
hottest job title in Silicon Valley."* – Tim O'Reilly
  Buy any two titles and get the 3rd Free.
 Or, buy them all<http://post.oreilly.com/rd/9z1z7gmtapb9jf77ag78c511hpki5fjpcrlfg2bsiv8>for
*$99*, a $128 savings. [image: Add Starter Kit to
 [image: Data Analysis with Open Source

*Data Analysis with Open Source
A survey of data analysis from a practitioner – from histograms to machine
learning, this book presents the tools you need to make sense with data.
You'll learn how to look at data to discover what it contains, how to
capture those ideas in conceptual models, and then feed your understanding
back into the organization through business plans, metrics dashboards, and
other applications.

Ebook: $31.99
 [image: Add to
 [image: Think Stats]<http://post.oreilly.com/rd/9z1zisfk2jho1sd940reks6artpkum405dshdm5ek38>

*Think Stats*<http://post.oreilly.com/rd/9z1z785hijpsvh8osnanksd4aisk80n6h0cbbl7k7c8>:
An introduction to statistics for the Python programmer. Think Stats
focuses on programming to produce results that turn data into knowledge,
not on mathematics and proofs.

Ebook: $16.99
 [image: Add to
 [image: Designing Data

*Designing Data
Telling stories is the missing part of much data analysis. This book
teaches how to create visualizations that communicate effectively with your

Ebook: $12.99
 [image: Add to
 [image: R Cookbook]<http://post.oreilly.com/rd/9z1zvplkvaustjd6npdl3lm2vi49tj3r6hhsc6v97v0>

*R Cookbook*<http://post.oreilly.com/rd/9z1zqn44uu80l51auijuf6ddk5i3npdqmok481blieg>:
Over 200 recipes for R users, ranging from the basic to the esoteric. Why
re-invent the wheel? This collection of concise, task-oriented recipes
makes you productive with R immediately, with solutions ranging from basic
tasks to input and output, general statistics, graphics, and linear

Ebook: $31.99
 [image: Add to
 [image: An Introduction to Machine Learning with Web

*An Introduction to Machine Learning with Web
bit.ly lead scientist Hilary Mason shows you how to solve data analysis
problems using basic machine learning techniques and frameworks.

Ebook: $29.99
 [image: Add to
 [image: R in a

*R in a Nutshell*<http://post.oreilly.com/rd/9z1z2qleug9ortbupk48kts1594k12kdl7psj7jprt0>:
The authoritative guide to what's become the de-facto standard for
statistical programming. R in a Nutshell provides a quick and practical way
to learn this increasingly popular open source language and environment.

Ebook: $35.99
 [image: Add to
 [image: Beautiful

*Beautiful Data*<http://post.oreilly.com/rd/9z1zh1a4ive55lrkhvq0b8ije9pij3cddub7tmfli98>:
In this insightful book, you'll learn from the best data practitioners in
the field just how wide-ranging – and beautiful – working with data can be.
Join 39 contributors as they explain how they developed simple and elegant
solutions on projects ranging from the Mars lander to a Radiohead video.

Ebook: $35.99
 [image: Add to
 [image: Programming Collective

*Programming Collective
Takes you into the world of machine learning and statistics, and explains
how to draw conclusions about user experience, marketing, personal tastes,
and human behavior in general – all from information that you and others
collect every day. Each algorithm is described clearly and concisely with
code that can immediately be used on your web site, blog, Wiki, or
specialized application.

Ebook: $31.99
 [image: Add to
    [image: oreilly.com]
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