Comparative Approaches to Using R and Python for Statistical Data Analysis is popular PDF and ePub book, written by Sarmento, Rui in 2017-01-06, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Comparative Approaches to Using R and Python for Statistical Data Analysis can be Read Online from any device for your convenience.
Comparative Approaches to Using R and Python for Statistical Data Analysis Book PDF Summary
The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to using R and Python for Statistical Data Analysis is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression, this publication is ideally designed for professionals, researchers, academics, graduate students, and practitioners interested in the optimization of statistical data analysis.
Detail Book of Comparative Approaches to Using R and Python for Statistical Data Analysis PDF
- Author : Sarmento, Rui
- Release : 06 January 2017
- Publisher : IGI Global
- ISBN : 9781522519898
- Genre : Business & Economics
- Total Page : 215 pages
- Language : English
- PDF File Size : 8,7 Mb
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