introduction to data analytics coursera quiz answers week 3

Practice Quiz

1. What are the requirements in order for data to be reliable? (Select all that apply)

  • Data should be easy to collect 
  • Data should be free of all errors
  • Data should be relevant
  • Data should be structured

2. What type of data is produced by wearable devices, smart buildings, and medical devices?

  • Observation study data
  • Sensor data
  • Survey data
  • Census data

3. What type of data is semi-structured and has some organizational properties but not a rigid schema?

  • Emails
  • Online forms 
  • Web logs
  • Data from OLTP systems

Graded Quiz

4. What are some of the steps in the process of “Identifying Data”? (Select all that apply)

  • Determine the information you want to collect 
  • Determine the visualization tools that you will use
  • Define a plan for collecting data
  • Define the checkpoints

5. What type of data refers to information obtained directly from the source?

  • Secondary data 
  • Primary data
  • Sensor data 
  • Third-party data

6. Web scraping is used to extract what type of data?

  • Images, videos, and data from NoSQL databases
  • Text, videos, and data from relational databases
  • Text, videos, and images
  • Data from news sites and NoSQL databases

7. Data obtained from an organization’s internal CRM, HR, and workflow applications is classified as:

  • Third-party data
  • Secondary data
  • Primary data
  • Copyright-free data

8. Which of the provided options offers simple commands to specify what is to be retrieved from a relational database?

  • SQL
  • API
  • Web Scraping
  • RSS Feed

Shuffle Q/A 1

Practice Quiz

9. What is one of the common structural transformations used for combining data from one or more tables?

  • Joins
  • Normalization 
  • Cleaning
  • Denormalization

10. What tool allows you to discover, cleanse, and transform data with built-in operations?

  • OpenRefine
  • Watson Studio Refinery
  • Google DataPrep
  • Trifacta Wrangler

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