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Nov 9, 2011 - 3 minute read - Comments

O'Reilly: Data Science Starter Kit

O’Reilly just just put up an offer for a pretty complete getting started in data analysis library. It doesn’t say when the offer ends, but if you are looking for some books on data manipulation, this might have everything you are looking for. (Link)

Data Science Starter Kit
The Tools You Need to Get Started with Data

This kit includes everything you need from analysis, visualization, to management.

“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 for just $99, a $128 savings.

Data Analysis with Open Source Tools: 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

Think Stats: 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

Designing Data Visualizations: Telling stories is the missing part of much data analysis. This book teaches how to create visualizations that communicate effectively with your audience.
Ebook: $12.99

R Cookbook: 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 regression.
Ebook: $31.99

An Introduction to Machine Learning with Web Data: bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks.
Ebook: $29.99

R in a Nutshell: 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

Beautiful Data: 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

Programming Collective Intelligence: 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