Weekly challenge 2

 

*Weekly challenge 2*

LATEST SUBMISSION GRADE

90%

1.

Question 1

Fill in the blank: Analytical skills are defined as _____.

1 / 1 point

qualities and characteristics associated with solving problems using facts

the management of people, processes, and tools

an analyst's intuition, inner voice, or gut instinct

the ability to break things down into smaller steps

Correct

Analytical skills are qualities and characteristics associated with solving problems using facts.

2.

Question 2

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

1 / 1 point

Having a technical mindset

Curiosity

Understanding context

Data strategy

Correct

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

3.

Question 3

Identifying the motivation behind data collection and gathering additional information are examples of which analytical skill?

0 / 1 point

A technical mindset

Understanding context

Data design

Data strategy

Incorrect

Review the section on analytical skills for a refresher.

4.

Question 4

Having a technical mindset is an analytical skill involving what?

1 / 1 point

Managing people, processes, and tools

Understanding the condition in which something exists or happens

Balancing roles and responsibilities

Breaking things down into smaller steps or pieces

Correct

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

5.

Question 5

Fill in the blank: Data strategy involves _____ the people, processes, and tools used in data analysis.

1 / 1 point

visualizing

choosing

managing

supervising

Correct

Data strategy is the management of the people, processes, and tools used in data analysis.

6.

Question 6

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

1 / 1 point

correlation

problem-orientation

detail-oriented thinking

visualization

Correct

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

7.

Question 7

When executing a plan, a data analyst always double-checks their work, reads emails twice before sending them, and makes sure instructions are clear and correct the first time. They save their company time, money, and effort by paying attention to the specifics. This is an example of what?

1 / 1 point

Problem-solving

Strategy

Context

Detail-oriented thinking

Correct

Detail-oriented thinking is about all of the specifics that will help you execute a plan.

8.

Question 8

The five whys is a technique that involves asking, “Why?” five times in order to achieve what goal?

1 / 1 point

Use facts to guide business strategy

Visualize how a process should look in the future

Identify the root cause of a problem

Put a plan into action

Correct

In the five whys, you ask, “Why?” five times to reveal the root cause of a problem.

9.

Question 9

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?

1 / 1 point

Strategy

The five whys

Gap analysis

Data visualization

Correct

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.

10.

Question 10

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.

1 / 1 point

True

False

Correct

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