First Day Assignment- Statistics and R

 1/16/25

Today I downloaded R and RStudio to my laptop. I am a little nervous to begin working with R, as I have never worked with this language before. Downloading the two were pretty easy, and I am eager to begin using the platform and language. After reading the syllabus, I understand this class will be rigorous but I will definitely learn a lot of practical information for data science. The meaning behind the term statistics is the examination of data and numbers in order to understand it. Statistics involves manipulation of this data, in order to find patterns within it and make inferences. Analytics utilizes statistical methods to recognize these patterns within large sets of data. Analytics are usually used for actionable strategies and decisions to optimize companies, employees, trends, profits, etc.  

R programming language is a programming language where one can "preform statistical analysis and produce graphics (Dalgaard 2). It is a very flexible program that allows analysis for complex data sets and preforms very well. It is programmed to get an answer for a statistical equation, and able to further analyze and compute more statistical models. This makes it a robust program, perfect for data scientists who are working with very large and complex datasets. 


Dalgaard, P. (2011). Introductory statistics with R. Lightning Source Uk Ltd.

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