A Business Analyst's Introduction To Business Analytics: Intro To Bayesian Business Analytics in the R Ecosystem

By Adam J. Fleischhacker

This up-to-date business analytics textbook (published in July 2020) will get you harnessing the power of the R programming language to: manipulate and model data, discover and communicate insight, to visually communicate that insight, and successfully advocate for change within an organization.Book DescriptionA frequent teaching-award winning professor with an analytics-industry background shares his hands-on guide to learning business analytics. It is the first textbook addressing a complete and modern business analytics workflow that includes data manipulation, data visualization, modelling business problems with graphical models, translating graphical models into code, and presenting insights back to stakeholders.Book Highlights Content that is accessible to anyone, even most analytics beginners. If you have taken a stats course, you are good to go. Assumes no knowledge of the R programming language. Provides introduction to R, RStudio, and the Tidyverse. Provides a solid foundation and an implementable workflow for anyone wading into the Bayesian inference waters. Provides a complete workflow within the R-ecosystem; there is no need to learn several programming languages or work through clunky interfaces between software tools. First book introducing two powerful R-packages - causact for visual modelling of business problems and greta which is an R interface to TensorFlow used for Bayesian inference. Uses the intuitive coding practices of the tidyverse including using dplyr for data manipulation and ggplot2 for data visualization. Datasets that are freely and easily accessible. Code for generating all results and almost every visualization used in the textbook.Do not learn statistical computation or fancy math in a vacuum, learn it through this guide within the context of solving business problems.

• Format: Paperback
• Language: English
• ISBN: B08DBYPRD2
• ISBN13: 9798667128175
• Release Date: July 2020
• Publisher: Independently Published
• Length: 302 Pages
• Weight: 1.84 lbs.
• Dimensions: 0.8" x 8.0" x 10.0"