Sacred Heart University Data Science Worksheet

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1. What are the three characteristics of Big Data, and what are the main considerations in processing
Big Data?
2. Explain the differences between Bl and Data Science.
3. Describe the challenges of the current analytical architecture for data scientists.
4. What are the key skill set sand behavioral characteristics of a data scientist?
5. What are the five characteristics of Big Data?
6. What is an analytic sandbox, and why is it important?
7. In which phase would the team expect to invest most of the project time? Why?
8. Given this dataset: 12, 8, 11, 10, 10, 20, 5, 13, 12, 9, 11
Get the mean, median and standard deviation. Are any of these number an outlier? If so which ones?
9-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?
10. What are the benefits of doing a pilot program before a full-scale rollout of a new analytical
methodology?
11. What kinds of tools would be used in the following phases, and for which kinds of use scenarios?
a. Phase 2: Data preparation
b. Phase4: Model building

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