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)?
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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
Note: Please make sure to write 150-200 words for each question above, in APA format – in text citation.