Modern Business Analytics by Deanne Larson (.ePUB)

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File Size: 13.2 MB

Modern Business Analytics: Increasing the Value of Your Data with Python and R by Deanne Larson
Requirements: .ePUB reader, 13.2 MB
Overview: Deriving business value from analytics is a challenging process. Turning data into information requires a business analyst who is adept at multiple technologies including databases, programming tools, and commercial analytics tools. This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value. Author Deanne Larson, Data Science practitioner and academic, helps you bridge the technical and business worlds to meet these requirements. You’ll focus on developing these skills with R and Python using real-world examples. You’ll also learn how to leverage methodologies for successful delivery. Learning methodology combined with open source tools is key to delivering successful business analytics and value. The current trend in analytics is to use open source tools: the leading tools are Python and R. Python is a full programming language that covers the programming capabilities to complete the data engineering as well as the Machine Learning algorithms to create models. R is used for statistics and analysis with strong visualization capabilities. Both tools are fueled by the different packages and libraries available.
Genre: Non-Fiction > Tech & Devices

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