Data Analysis with Open Source Tools: A Hands-On Guide for by Philipp K. Janert

By Philipp K. Janert

Collecting information is comparatively effortless, yet turning uncooked info into anything worthy calls for that you just know the way to extract accurately what you would like. With this insightful publication, intermediate to skilled programmers attracted to facts research will research recommendations for operating with information in a enterprise surroundings. you are going to find out how to examine info to find what it includes, the way to trap these principles in conceptual versions, after which feed your figuring out again into the association via enterprise plans, metrics dashboards, and different applications.

Along the best way, you will scan with innovations via hands-on workshops on the finish of every bankruptcy. peculiarly, you are going to find out how to take into consideration the implications you must in achieving -- instead of depend upon instruments to imagine for you.

  • Use photos to explain info with one, , or dozens of variables
  • Develop conceptual types utilizing back-of-the-envelope calculations, in addition asscaling and likelihood arguments
  • Mine information with computationally extensive tools similar to simulation and clustering
  • Make your conclusions comprehensible via studies, dashboards, and different metrics programs
  • Understand monetary calculations, together with the time-value of money
  • Use dimensionality relief options or predictive analytics to overcome demanding facts research situations
  • Become accustomed to diversified open resource programming environments for info analysis

"Finally, a concise reference for figuring out the right way to triumph over piles of data."--Austin King, Senior internet Developer, Mozilla

"An crucial textual content for aspiring facts scientists."--Michael E. Driscoll, CEO/Founder, Dataspora

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