Coursera Google Data Analytics Professional Prepare Data for Exploration (Week 1) Quiz Answer- Data types and structures.

Recommended Courses:

1. Coursera: Machine Learning.
2. Google Data Analytics Professional Certificate.

1.Data types and structures.

Question 1

If you have a short time frame for data collection and need an answer immediately, you would have to use historical data.

• True
• False

If you have a short time frame for data collection and need an answer immediately, you would have to use historical data.

 

Question 2

Which of the following is an example of continuous data?

• Box office returns
• Movie run time
• Movie budget
• Leading actors in movie

Movie run time is an example of continuous data.

 

Question 3

Which of the following questions collects nominal qualitative data?

• Is this your first time dining at this restaurant?
• How many people do you usually dine with?
• On a scale of 1-10, how would you rate your service today?
• How many times have you dined at this restaurant?

“Is this your first time dining at this restaurant?” is a question that collects nominal qualitative data.

 

Question 4

Which of the following is a benefit of internal data?

• Internal data is less vulnerable to biased collection.
• Internal data is more relevant to the problem.
• Internal data is more reliable and easier to collect.
• Internal data is less likely to need cleaning.

A benefit of internal data is that it’s more reliable and easier to collect than external data.

 

Question 5

A social media post is an example of structured data.

• True
• False

A social media post is an example of unstructured data.

 

Question 6

Fill in the blank: A Boolean data type can have _____ possible values.

• two
• three
• infinite
• 10

A Boolean data type can have two possible values.

 

Question 7

In long data, separate columns contain the values and the context for the values, respectively. What does each column contain in wide data?

• A specific constraint
• A unique format
• A specific data type
• A unique data variable

In wide data, each column contains a unique data variable. In long data, separate columns contain the values and the context for the values, respectively.

 

Question 8

A data analyst is working in a spreadsheet application. They use Save As to change the file type from .XLS to .CSV. This is an example of a data transformation.

• True
• False

A data analyst using Save As to change a file type from .XLS to .CSV is an example of a data transformation.

• 一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一一

                         Machine Learning Coursera-All weeks solutions [Assignment + Quiz]   click here

                                                                                &

                         Coursera Google Data Analytics Professional Quiz Answers   click here

Have no concerns to ask doubts in the comment section. I will give my best to answer it.

If you find this helpful kindly comment and share the post.

This is the simplest way to encourage me to keep doing such work.

Thanks & Regards,

-Wolf