This week in BAN 7002, we return from “Spring Break” to conclude our learning modules in the SAS programming language and move on to learn R programming. As we submitted our Home Price Prediction Midterm projects that helped us tie all our SAS skills together into one, cohesive and relevant environment we transition into the world of R.
This week we were introduced to R, in its similarities and differences of the language as compared to SAS and other programming languages. R is known to be more complex than SAS, although it provides the user more flexibility. Another major difference between the two languages is R’s ability to generate complex graphical models. R is more commonly used in Financial markets and for data imports and cleansing, whereas SAS is better for predictive analytics, business analytics and the like.
I am cautiously approaching R for the reasons stated above. I know it will be a beast of a language to learn but with the right resources, will be a valuable tool to have in my skillset.
