Assignment: R Programming
Q1. Why are statistical programming languages important to data scientists? What are some advantages and disadvantages that R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?
Q2.
1. In which phase would the team expect to invest most of the project time? Why? Where would the team expect to spend the least time?
2. What are the benefits of doing a pilot program before a full-scale rollout of a new analytical methodology? Discuss this in the context of the mini case study.
3. What kinds of tools would be used in the following phases, and for which kinds of use scenarios?
a. Phase 2: Data preparation
b. Phase 4: Model building
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.