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
