Glossary: Terms and definitions

We’ve covered a lot of terms—some of which you may have already known, and some of which are new. To make it easy to remember what a word means, we created this glossary of terms and definitions.

To use the glossary for this course item, click the link below and select “Use Template.”

Link to glossary: Week 2 Glossary

Or if you don’t have a Google account, you can download the glossary directly from the attachment here.

Weekly challenge 2

1st

Question 1

A junior data analyst is seeking out new experiences in order to gain knowledge. They watch videos and read articles about data analytics. They ask experts questions. Which analytical skill are they using?

A. Having a technical mindset

B. Understanding context

C. Data strategy

D. Curiosty

The correct answer is D. Curiosty

Question 2

Which of the following examples best describe the analytical skill of understanding context? Select all that apply.

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

Question 3

Breaking things down into smaller steps or pieces and working with them in an orderly and logical way describes which analytical skill?

A. Curiousty

B. Data strategy

C. Context

D. A technical mindset

The correct answer is D. A technical mindset

Question 4

Fill in the blank: In data analytics, data strategy involves managing the people, processes, and ____.

A. procedures

B. tools

C. projects

D. consent

The correct answer is B. tools

Question 5

Identifying a relationship between two or more pieces of data is known as what?

A. corrleation

B. problem-orientation

C. visualization

D. detail-oriented thinking

The correct answer is A. corrleation

Question 6

In order to get at the root cause of a problem, a data analyst would ask ____.

A. the five whys

B. project stakeholders

C. the engineering team

D. their customers

Question 7

Fill in the blank: _____ is a method examining and evaluating how a process works currently in order to get where you want to be in the future.

A. Gap analysis

B. Strategy

C. Data visualization

D. The five whys

The correct answer is A. Gap analysis

Question 8

Fill in the blank: Data analytics use the five analytical skills of curiosty, understanding context, having a technical mindset, data design, and data strategy to make ____ decisions.

A. forward-looking

B. intuitive

C. data-driven

D. more efficient

The correct answer is C. data-driven

https://user-images.githubusercontent.com/89558595/232287774-4b76dc9c-fd92-49cf-9610-7aa22b1343c0.mp4

2nd

Question 1

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

A. Curiosty

B. Understanding context

C. Data strategy

D. Having a technical mindset

The correct answer is A. Curiosty

Question 2

Identifying the motivation behind the collection of a dataset is an example of the analytical skill of understanding context. True or False?

A. True

B. False

It is true.

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 is the data analyst using?

A. A technical mindset

B. Understanding context

C. Curiosty

D. Data strategy

The correct answer is A. A technical mindset

Question 4

Fill in the blank: In data analytics, data strategy involves managing the people, processes, and _____.

A. tools.

B. consent

C. projects

D. procedures

The correct answer is A. tools

Question 5

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

A. correlation

B. detail-oriented thinking

C. problem-orientation

D. visualization

The correct answer is A. correlation

Question 6

Data analysts ask, "Why?" five times in order to get to the root cause of a problem. True or False?

A. True

B. False

It is true.

Question 7

Fill in the blank: ____ is a method examining and evaluating how a process works currently in order to get where you want to be in the future.

A. Data visualization

B. Strategy

C. The five whys

D. Gap analysis

The correct answer is D. Gap analysis

Question 8

Fill in the blank: In data-driven decision making, data analysts use five analytical skills of curiosity, understanding context, having a techinical mindset, data design, and ______.

A. forward-looking

B. data strategy

C. intuition

D. efficiency

It is false answer.