Google Data Analytics | Course 1 | Module 4 Answers | Coursera

Google Data Analytics: Course 1: Module 3 Answers

Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply.

• Fairness means ensuring that analysis does not create or reinforce bias.
• Fairness practices should begin during the prepare phase of the data analysis process.
• Best practices for fairness in data analysis include considering all available data.
• A data professional may include self-reported data when prioritizing fairness.

A ballet company needs more dancers, so they announce upcoming auditions in online ads. Research reveals that 85% of dancers are under age 34, so the data team decides that young people are more likely to be successful. Therefore, they target the ads to young job seekers. What should they have done instead?

• Ask the executive team to decide which type of applicants to target with the ads.
• Only show ads for the upcoming auditions to people who are 35 and older.
• Conduct more research to understand the surrounding factors of this situation.
• Find an additional data source that supports the strategy to target young people.

Which fairness best practice is intended to help data teams better understand the context surrounding their data analysis conclusions?

• Use oversampling
• Include self-reported data
• Consider relevant data
• Identify surrounding factors

A political candidate surveys voters to learn about their opinions on key issues. The politician’s data team notices that most respondents are people who have already voted in the current election. The fairness of the survey could be improved by over-sampling people from which group?

• People who voted for the candidate in the current election
• People who voted against the candidate in the current election
• People who have not yet voted in the election
• First-time voters who already voted in the current election

Fill in the blank: A junior data analyst works on a _____ when using their analytical skills to address questions or problems for their organization.

• business task
• measurable outcome
• stated objective
• relevant process

A data professional at a grocery store considers fairness when collecting data. Rather than having store associates share observations, they create a survey that asks customers to provide information about their own shopping experiences. This helps avoid any unconscious bias that might be introduced by the sales associates. Which fairness best practice does this scenario describe?

• Considering context
• Oversampling
• Using all available data
• Self-reporting

A data analyst at a marketing company determines which advertising campaign will be most successful. Rather than only reviewing data about effective past campaigns, the analyst considers target audience demographics, market trends, competitor campaigns, and more. This enables them to achieve more insightful results. Which fairness best practice does this scenario describe?

• Including self-reported data
• Oversampling
• Considering all available data
• Guiding business strategy

Fill in the blank: A data professional ensures their data analysis is fair by considering fairness from _____ of a project.

• planning to presentation
• beginning to conclusion
• analysis to completion
• outlining to reporting