foundations of data science coursera week 1 quiz answers

Assess your readiness for the Advanced Analytics Data Certificate

1. What is data science?

  • A process used to solve complex problems in a user-centric way
  • A tool for organizing data elements and how they relate to one another
  • The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
  • A field of study that uses raw data to create new ways of modeling and understanding the unknown

2. What is the key difference between qualitative and quantitative data?

  • Qualitative data describes the kind of data being analyzed; quantitative data describes how much data is being analyzed.
  • Qualitative data is about the quality of a product or service; quantitative data is about how much of that product or service is available in the marketplace.
  • Qualitative data is subjective; quantitative data is specific.
  • Qualitative data measures qualities and characteristics; quantitative data measures numerical facts.

3. Which of the following statements accurately describe wide and long data? Select all that apply.

  • Wide data subjects can have multiple rows that hold the values of subject attributes.
  • Long data subjects can have data in multiple columns.
  • Long data subjects can have multiple rows that hold the values of subject attributes.
  • Wide data subjects can have data in multiple columns.

4. Structured data is likely to be found in which of the following formats? Select all that apply.

  • Spreadsheet
  • Audio file
  • Database table
  • Digital photo

5. Fill in the blank: A Boolean data type can have _____ possible value(s).

  • three
  • two
  • one
  • infinite

6. What is the term for the individuals who have invested time and resources in a project and are interested in its outcome?

  • Subject-matter experts
  • Executives
  • Stakeholders
  • Project sponsors

7. When collecting data for a study, what are some reasons to consider sample size? Select all that apply.

  • To collect data that represents a diverse set of perspectives
  • To include as many participants as possible in the study
  • To make sure a few unusual responses don’t skew results
  • To eliminate certain segments of a population

8. The SMART methodology can be used to ask a question that promotes change. What type of SMART question leads to change?

  • Transformational
  • Motivational
  • Action-oriented
  • Results-focused

Shuffle Q/A 1

9. Which of the following inquiries are leading questions? Select all that apply.

  • How did you learn about our company?
  • In what ways did our product meet your needs?
  • How satisfied were you with our customer representative?
  • What do you enjoy most about our service?

10. What are the key characteristics of a metric? Select all that apply.

  • Metrics are quantifiable.
  • Metrics are used for measurement.
  • Metrics can be used to evaluate performance.
  • Metrics are unorganized collections of facts.

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