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Data Science Questions 1
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Data Science Questions 1
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25 Questions

1. Characteristics of open data

2. How do you create a KPI for a scorecard using a calculated field in Tableau?

3. What are some examples of structured and unstructured data?

4. According to Wohlsen, Facebook's recent study of its users revealed

5. What is sentiment analysis? How does it work?

6. Predictive analysis

7. What is a KPI

8. Stein was able to eventually predict the gender of a caller

9. When should you not bother resolving conflicts or even fixing your data?

10. According to Davenport, what is an example of something that should not be included while storytelling with data

11. What are the uses of association mining?

12. People spend ____ of the time on data cleaning, the rest is on _____. They are:

13. 'The Agency Problem'

14. MapReduce

15. According to Silver's article 'What the Fox Knows,' the 'explanation' step involves

16. The Ashley Madison hack is different from previous hacks in that

17. According to Schambra, the problem with scoring non-profit outcomes as 'success' or 'failure' is

18. According to Bialik, a key issue with counting steps as a measure of fitness is

19. Too many attributes (in dirty data)

20. What to do to narrow confidence interval?

21. Best practices of dealing with dirty data

22. What is the difference in definition and purpose between a scorecard and a dashboard?

23. Descriptive analysis

24. According to Unwin, a scale is 'really nice' if it

25. According to Paine, an analysis found that a team's probability of scoring increases as

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