Data Analysis with Open Source Tools: A hands-on guide for programmers and data scientists

✍ Scribed by Philipp K. Janert

Publisher: O'Reilly Media
Year: 2010
Tongue: English
Leaves: 533
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. 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. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve - rather than rely on tools to think for you.

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