*Weekly challenge 5* >> Foundations: Data, Data, Everywhere
TOTAL POINTS 8
1.A magazine wants to understand why its subscribers have been increasing. A data analyst could help answer that question with a report that predicts the result of a half-price sale on future subscription rates.
1 point
2.Fill in the blank: A doctor’s office has discovered that patients are waiting 20 minutes longer for their appointments than in past years. To help solve this problem, a data analyst could investigate how many nurses are on staff at a given time compared to the number of _____.
1 point
3.Describe the difference between a question and a problem in data analytics.
1 point
4.What is a question or problem that a data analyst answers for a business?
1 point
5.Data-driven decision-making is using facts to guide business strategy. The benefits include which of the following? Select all that apply.
1 point
6.Data analysts ensure their analysis is fair for what reason?
1 point
7.Fill in the blank: Fairness is achieved when data analysis doesn’t create or _____ bias.
1 point
8.Collaborating with a social scientist to provide insights into human bias and social contexts is an effective way to avoid bias in your data.
1 point
Related Questions & Answers:
- *Weekly challenge 1* *Weekly challenge 1* >> Foundations: Data, Data, Everywhere 1. Data analysis is the various elements that interact with one another ... Read more...
- *Weekly challenge 2* *Weekly challenge 2* >> Foundations: Data, Data, Everywhere TOTAL POINTS 8 1.A junior data analyst is seeking out ... Read more...
- *Weekly challenge 3* *Weekly challenge 3* >> Foundations: Data, Data, Everywhere TOTAL POINTS 8 1.In which stage of the data life ... Read more...
- *Weekly challenge 4* *Weekly challenge 4* >> Foundations: Data, Data, Everywhere TOTAL POINTS 8 1.In the following spreadsheet, the column labels in ... Read more...
- *Course challenge* *Course challenge* >> Foundations: Data, Data, Everywhere TOTAL POINTS 10 1.Scenario 1, question 1-5 You’ve just started a new ... Read more...
- Clustering Clustering >> Machine Learning with Python Clustering TOTAL POINTS 15 1.Which statement is NOT TRUE about k-means clustering? 3 ... Read more...
