Question 1
Which of the following statements correctly describe data and data analysis? Select all that apply.

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One goal of data analysis is to drive informed decision-making.


Data is a collection of facts.


Transforming data is part of the data analysis process.


Data analysis is the creation of data. 

2.
Question 2
Fill in the blank: Data science involves using _____ data to create new ways of modeling and understanding the unknown.

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processed


transformed


raw 


clean

3.
Question 3
Which of the following activities are elements of data-driven decision-making? Select all that apply.

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Ask subject-matter experts to review the results


Figure out the business need or problem to be solved


Remove data insights that stem from human intuition


Find and analyze relevant data

4.
Question 4
A pet shelter wants to receive 15% more donations at this year’s holiday fundraiser than were given in previous years. Data team members look into past donations compared to desired donations for this holiday season. They then develop strategies to bridge the difference between the two. What does this scenario describe?

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Gap analysis


Guiding business decisions


Future analysis


Planning

5.
Question 5
Fill in the blank: Data analysts use a problem-oriented approach in order to identify, _____, and solve problems. 

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create


obscure


modify


describe

6.
Question 6
Which of the following scenarios demonstrate analytical thinking? Select all that apply.

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You identify and define a problem, then solve it by using data in an organized manner.


You notice that two pieces of data trend in the same direction and investigate them further to check for correlation. 


You select and design a graph to communicate your data in an appropriate and accessible way.


You determine your hypothesis to be true because there is nothing in your data to contradict it.

7.
Question 7
A junior data analyst at a construction company develops a plan about a home-remodeling project. They employ analytical thinking to stay focused and on track. They also consider how to improve the quality and usefulness of the data they collect. Which aspect of analytical thinking does this scenario describe?

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Correlation


Strategic thinking


Visualization


Profit-driven thinking

8.
Question 8
A data professional asks, “Why?” five times. What are they trying to figure out?

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Details about the effects of a problem


The root cause of a problem


The most common symptoms of a problem


Evidence of a problem’s existence

9.
Question 9
A data professional considers how they can best manage the key elements of an analysis project. They confirm that team members know how to use the right data, ensure there’s a clear path to a solution, and check that the right technology is in place. Which analytical skill does this scenario describe?

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Understanding context


Technical mindset


Curiosity


Data strategy

10.
Question 10
Which of the following examples demonstrate data-driven decision-making? Select all that apply.

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A government agency uses facts documented in police reports to help develop crime-prevention strategies.


A transportation company prioritizes the preferences of local politicians when outlining routes and schedules.


A weather forecaster refers to information about past extreme weather in order to better predict future events.


An online retailer surveys customers to develop new products that are more likely to be successful.