TAILIEUCHUNG - Data Analysis with Open Source Tools

These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics | A Hands-On Guide for Programmers and Data Scientists with Open Source Tools Philipp K. Janert O REILLY8 Databases Data Analysis Data Analysis with open Source Tools 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. Use graphics to describe data with one two or dozens of variables Develop conceptual models using back-of-the-envelope calculations as well as scaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports dashboards and other metrics programs Understand financial calculations including the timevalue of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis Previous programming experience is recommended. Strata Making Data Work Strata is the emerging ecosystem of people tools and technologies that turn big data into smart decisions. Find information and resources at data. Finally a concise reference for understanding how to conquerpiles of data. Austin King Senior Web Developer Mozilla An indispensable text for aspiring data scientists. Michael E. Driscoll CEO Founder

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