By Philipp K. Janert
Collecting information is comparatively effortless, yet turning uncooked details into anything priceless calls for that you simply know the way to extract accurately what you would like. With this insightful e-book, intermediate to skilled programmers drawn to facts research will study strategies for operating with facts in a company setting. you will examine information to find what it includes, tips on how to catch these principles in conceptual versions, after which feed your knowing again into the association via company plans, metrics dashboards, and different applications.
Along the way in which, you will scan with ideas via hands-on workshops on the finish of every bankruptcy. specifically, you are going to how you can take into consideration the consequences you need to in achieving -- instead of depend on instruments to imagine for you.
- Use pics to explain info with one, , or dozens of variables
- Develop conceptual types utilizing back-of-the-envelope calculations, in addition asscaling and chance arguments
- Mine information with computationally in depth equipment resembling simulation and clustering
- Make your conclusions comprehensible via reviews, dashboards, and different metrics programs
- Understand monetary calculations, together with the time-value of money
- Use dimensionality aid ideas or predictive analytics to overcome demanding info research situations
- Become conversant in various open resource programming environments for facts analysis
"Finally, a concise reference for realizing the way to triumph over piles of data."--Austin King, Senior net Developer, Mozilla
"An necessary textual content for aspiring info scientists."--Michael E. Driscoll, CEO/Founder, Dataspora
Read Online or Download Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists PDF
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Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists by Philipp K. Janert