Leadership Through Marketing Coursera Quiz Answers

All Weeks Leadership Through Marketing Coursera quiz answers

Leadership Through Marketing Week 3 quiz answers

Quiz 1: Module 3 Quiz

Q1. Why was it possible for the Moneyball story to happen in the 2000s and not before then, like in the 1990s or 1980s?

• The data was not previously available
• Statistical methods were not advanced enough until the 2000s
• The benefits of advanced analytics were not apparent to most leaders in baseball prior to the 2000s
• There was not enough statistical talent interested in baseball prior to the 2000s

Q2. Complete this sentence: Data science…

• Is not objective
• Leaves room for judgment
• Does not always provide clear-cut answers
• All of the above

Q3. The search engine advertising graph from Video 3-2, Why Analytics Requires Managerial Judgment, timecode 1:53 fails to show that search engine advertising works because

• There were not enough consumers in each group
• Consumers in each group differ in their interest in buying a car
• We did not measure the data on last-click attribution

Q4. The Harrah’s story from Video 3-3, Why Analytics Requires Process and Incentive Changes, timecode 00:32 illustrates that:

• Analytics is hard to perform without top level management involvement
• Analytics can drive business value
• Analytics can serve to differentiate a company from its competitors
• Analytics requires a holistic (360 degree) view of the customer
• All of the above

Q5. The wine club story from Video 3-4, Why Analytics Has to Be Problem Driven, timecode 00:23 shows that the analytics proposed for their pro-active churn management failed because:

• The winery had not designed customer touch points with analytics in mind
• There were not enough customers who used the wine club to be able to build a good predictive model
• The winery targeted the wrong customers

Q6. The fact that analytics is a leadership problem implies that:

• Leaders need to have in-depth analytics expertise
• Leaders need to be involved in making analytics decisions every step of the way
• Every leader needs to know how to code

Q7. A working knowledge of data science allow you to:

• Judge what good analytics looks like
• Identify where analytics adds value
• Lead with confidence
• All of the above

Q8. To obtain a knowledge of data science you need to be good at:

• Math and statistics
• Computer science
• Critical analytical thinking
• All of the above

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