Leadership Through Marketing Coursera Quiz Answers

All Weeks Leadership Through Marketing Coursera quiz answers

Today’s workplace calls for a new style of leadership to embolden and accelerate innovation. Design offers a novel way to discover market opportunities, experiment to validate concepts The success of every organization depends on attracting and retaining customers. Although the marketing concepts for doing so are well established, digital technology has empowered customers, while producing massive amounts of data, revolutionizing the processes through which organizations attract and retain customers.

In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and develop the data science skills to lead more effectively, allocate resources, and to confront this very challenging environment with confidence.

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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
Leadership Through Marketing Course Review:

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This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.

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