Brief | Book | |
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Designed to provide Business students and professionals with a pragmatic introduction to R, RStudio, Git, GitHub, and GitKraken in the context of the Business Data Life Cycle.
R is a powerful free open source statistical computing software that has emerged as the leading programming language for statistics and data analysis. It is well established in both academia and corporations for robustness, reliability and accuracy, but is still relatively new to the Caribbean region. R allows the business to combine statistics with computer science in order to extract new insights and new knowledge from the vast amount of data generated from the digital age. Based on real cases, the book allows you will sit at the computer and learn how to load, merge, clean, reshape, summarize, troubleshoot and transform data into mathematical functions, and produce ‘markdown’ reports using R. Eventually, the book positions you to immediately increase their usefulness to the organization, as well as to move on to more advanced courses such as Data Science Using R. |
Why? - build a strategic, smart and strong analytics capability to transform your institution and ensure a future proof competitive advantage. This type of transformation impacts top-line growth—such as those related to institutional transformation and data utilization—as well as productivity and performance. This discipline includes: Agile and rapid prototyping. Analytics capability assessment and transformation. Remember the conviction: #Analyticship:#BI,#ML,#AI,#BigData,#Analytics,#HiEd:
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Saturday, August 22, 2020
Introduction to R for Business
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