Coursera Google Data Analytics Professional Foundations: Data, Data, Everywhere (Week 2) Quiz Answer- All about analytical thinking.

 

Recommended Courses:

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

2.All about analytical thinking.

Question 1

Seeking out new challenges and experiences in order to learn is an example of which analytical skill?

• Understanding context 
• Having a technical mindset
• Data strategy
• Curiosity

Curious people seek out new challenges, which leads to knowledge. 

Question 2

Understanding context is an analytical skill best described by which of the following? Select all that apply. 

• Working with facts in an orderly manner
• Identifying the motivation behind the collection of a dataset
• Adding descriptive headers to columns of data in a spreadsheet 
• Gathering additional information about data to understand the broader picture 

Context is the condition in which something exists, such as a structure. Gathering extra information about data to understand the broader picture provides context.

Question 3

A data analyst works for an appliance manufacturer. Last year, the company’s profits were down. Lower profits can be a result of fewer people buying appliances, higher costs to make appliances, or a combination of both. The analyst recognizes that those are big issues to solve, so they break down the problems into smaller pieces to analyze them in an orderly way. Which analytical skill are they using?

• Understanding context
• Data strategy
• A technical mindset 
• Curiosity

They are using a technical mindset, which involves the ability to break things down into smaller steps or pieces and work with them in an orderly and logical way.

Question 4

Data design is how you organize information; data strategy is the management of the people, processes, and tools used in data analysis. 

• True
• False

Question 5

Fill in the blank: Being able to identify a relationship between two or more pieces of data describes _____.

• correlation
• detail-oriented thinking
• problem-orientation
• visualization 

Being able to identify a relationship between two or more pieces of data describes correlation.

Question 6

What method involves asking numerous questions in order to get to the root cause of a problem?

• Inquiry
• Strategizing
• Curiosity
• The five whys

The five whys involves asking numerous questions in order to get to the root cause of a problem?

 

  Question 7

What method involves examining and evaluating how a process works currently in order to get it where you want it to be in the future?

• The five whys
• Data visualization
• Gap analysis 
• Strategy

Gap analysis is a method for examining and evaluating how a process works currently in order to get where you want to be in the future.

 Question 8

Data-driven decision-making involves the five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy. Each plays a role in data-driven decision-making.

• True
• False

Data-driven decision-making involves curiosity, understanding context, having a technical mindset, data design, and data strategy.

 

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