Modern Business Analytics : Increasing the Value of Your Data with Python and R

This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value. Author Deanne Larson helps you bridge the technical and business worlds to meet these requirements.

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. This book shows you how to:Apply business analytics methodologies to achieve successful resultsCleanse and transform data using R and PythonUse R and Python to complete exploratory data analysisCreate predictive models to solve business problems in R and PythonUse Python, R, and business analytics tools to handle large volumes of dataCommit code to GitHub to collaborate with data engineers and data scientistsMeasure success in business analytics