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?
Answers
·
Data
strategy
·
Having
a technical mindset
·
Curiosity
·
Understanding
context
Explanation: The young data analyst is
displaying one of the analytical skills known as "Continuous
Learning" or "Self-Education." They are continuously growing
their expertise and keeping themselves updated about advances in the area of
data analytics by actively searching out new experiences, watching videos,
reading publications, and asking specialists questions. This dedication to
continuous education is a significant analytical talent that assists
professionals in remaining relevant and adapting to changes in their respective
fields.
2.
Identifying the motivation behind data collection and gathering additional
information are examples of which analytical skill?
Answers
· Data design
·
A
technical mindset
·
Understanding context
·
Data
strategy
Explanation: Critical thinking is an
analytical talent that involves identifying the reason behind data collecting
and acquiring more information. Two instances of critical thinking are shown
below. Ability to examine and evaluate information, take into account a variety
of viewpoints, and come to judgments based on that analysis and evaluation is
critical thinking. When it comes to evaluating data and deriving useful
insights, a deliberate and analytical approach is shown by having a knowledge
of the goal of data collecting and obtaining further information.
3. Having a technical mindset is an
analytical skill involving what?
Answers
·
Managing
people, processes, and tools
·
Understanding
the condition in which something exists or happens
·
Breaking
things down into smaller steps or pieces
·
Balancing
roles and responsibilities
Explanation: Being able to grasp and
deal with technical ideas, systems, and tools is an essential part of having an
analytical competence known as "having a technical mindset." It
encompasses expertise in the management of technical information, the solution
of problems via the use of technological procedures, and the ability to adapt
to new technologies. A person who has a technical mentality is able to tackle
difficult problems using a rational and methodical strategy, making effective
use of their technical expertise to assess and find solutions to complex
issues. This ability is very helpful in technological disciplines such as
information technology, engineering, data analysis, and other related fields.
4.
Fill in the blank: Data strategy involves _____ the people, processes, and
tools used in data analysis.
Answers
·
supervising
·
managing
·
choosing
·
visualizing
Explanation: The process of harmonizing
the people, processes, and technologies utilized in data analysis is part of
the data strategy process.
5. Correlation is the aspect of
analytical thinking that involves figuring out the specifics that help you
execute a plan.
Answers
·
True
·
False
Explanation: In point of fact, the link
or connection between two or more variables or components is what we mean when
we talk about correlation in analytical thinking. Determining how changes in
one variable relate to changes in another variable is a necessary step. The
part of analytic thinking that entails working out the particulars of how to
carry out a plan is more closely connected to the ideas of
"Implementation" and "Execution Planning." In order to
attain a goal or find a solution to a problem, it is necessary to translate
analytical findings into measures that can be taken.
6.
What method involves asking numerous questions in order to get to the root
cause of a problem?
Answers
·
Strategizing
·
The five whys
·
Curiosity
·
Inquiry
Explanation: The "Five Whys" approach is a common
name for the process that entails asking a number of questions in order to get
to the bottom of an issue in order to find a solution to it. This technique
entails asking the question "Why?" about the chain of
cause-and-effect interactions that are associated with a problem on a
consistent basis until the underlying problem or root cause is located. It
assists in the uncovering of deeper levels of causality beyond the evident
symptoms, and it tackles the root of the issue.
7. 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.
Answers
· True
·
False
Explanation: You have that totally correct! The present status
of a procedure, system, or organization is evaluated and compared to the
idealized version of that entity at some point in the future during a gap
analysis. You may design a strategic plan to attain your objectives if you
first identify the gaps or discrepancies that exist between the present state
and the state you want it to be in the future. It is a great tool for
identifying what aspects of the current situation need development or change in
order to progress from where we are now to where we picture ourselves being in
the future.
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.
Answers
·
True
·
False
Shuffle Q/A 1
9.
Fill in the blank: The analytical skill of ______ involves seeking out new
experiences in order to gain knowledge.
Answer
·
understanding
context
·
having
a technical mindset
·
data
strategy
·
curiosity
Explanation: The critical thinking
ability known as "Continuous Learning" entails actively seeking out
new experiences for the purpose of expanding one's knowledge base.
10.
Breaking things down into smaller steps or pieces and working with them in an
orderly and logical way describes which analytical skill?
Answer
·
Data
strategy
·
Context
·
Curiosity
·
A technical mindset
Explanation: The analytical skill known
as "Analytical Decomposition" or "Problem Decomposition"
refers to the process of disassembling anything into its component parts or
stages and then working with those parts or steps in a methodical and sequential
manner. This ability is being able to break down difficult situations into
components that are more manageable and clear, so allowing for a more
methodical and structured approach to problem solving.
11. In data analysis, data
strategy is the analytical skill that involves managing which of the following?
Select all that apply.
Answer
·
People
·
Consent
·
Tools
·
Processes
12.
A grocery store owner notices that they sell more orange juice during the
winter season, when people are more likely to get sick. After observing this
for a couple of years, they decide to stock more orange juice during the
winter. The store owner is using which quality of analytical thinking?
Answer
·
detail-oriented
thinking
·
correlation
·
problem-orientation
·
visualization
Explanation: The proprietor of the
grocery shop is exhibiting a kind of analytical thinking known as "Pattern
Recognition." The proprietor realizes a connection exists between the four
seasons and orange juice sales as a result of noticing a trend that has persisted
over the course of a couple of years, namely, that more orange juice is sold
during the winter, when people are more likely to fall ill. Because of this
understanding of a recurrent trend, they are able to make an educated choice
about whether or not to store extra orange juice throughout the winter season.
13.
The five whys is a technique that involves asking, “Why?” five times in order
to achieve what goal?
Answer
·
Identify
the root cause of a problem
·
Visualize
how a process should look in the future
·
Put
a plan into action
·
Use
facts to guide business strategy
Explanation: In order to get to the
bottom of an issue, a strategy known as the "Five Whys" includes
repeatedly asking the question "why?" By continually pondering the
question of how and why a problem arose, the objective here is to unearth the underlying
causes that are contributing to the problem. This approach helps find deeper
levels of causality beyond the symptoms, which leads to a more thorough
knowledge of the issue and makes it easier to solve it effectively.
14.
In data analysis, one often examines and evaluates how a process currently
works in order to get it to where they want it to be in the future. This is
known as what?
Answer
·
Building
a data visualization
·
Gap analysis
·
Determining
the stakeholders
·
Asking
the five whys
Explanation: "Gap Analysis"
is a technique used in data analysis that involves investigating and assessing
how a procedure operates at the present time with the goal of bringing it
closer to the intended future state. An important part of doing a gap analysis
is determining the gaps or disparities that exist between the present state and
the one that is intended for the future. This paves the way for strategic
planning to close those gaps and accomplish certain objectives. It is a
rigorous technique to understanding the differences in processes or systems and
addressing those differences.
15.
A company is seeing a decline in organizational efficiency. They decide to hire
an outside organization to help increase overall performance. The data analyst,
working for the newly contracted company, utilizes five analytical skills:
curiosity, understanding context, having a technical mindset, data design, and
data strategy to deliver the project goals. Once the project goals are met, the
analyst informs the decision makers of their findings and the project is
completed. What strategy did the data analyst use to complete this project?
Answer
·
Gut
instinct
·
Gap
analysis
·
Data-driven decision-making
·
The
five whys
Explanation: The data analyst in this
case used a tactic that is consistent with the fundamentals of what is known as
"Consultancy" or "External Consulting." This entails
bringing in a firm or organization from the outside (in this example, the newly
hired company) to give specialized knowledge and solutions in order to handle
particular difficulties or enhance overall performance. The analyst was able to
examine the organizational efficiency challenges and accomplish the project's
objectives by using analytical skills such as curiosity, knowing context,
having a technical mindset, having a data design, and having a data strategy.
Informing those who make decisions about the results of the project and putting
up alternatives to improve organizational performance are required to bring the
project to a successful conclusion.
16.
Identifying the motivation behind the collection of a dataset is an example of
the analytical skill of understanding context.
Answer
·
True
·
False
Explanation: Without a doubt! It is a
clear evidence of the analytical talent known as "Understanding
Context" to be able to identify the reason that was behind the collecting
of a dataset. Recognizing the larger conditions, aims, and intentions
underlying data gathering is a need for this talent. This recognition is
necessary to ensure that data analysis is carried out with a full grasp of the
context in which the data was collected. It is very necessary to have this
grasp of the context in order to get correct and useful insights from the data.
17.
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.
Answer
·
True
·
False
Explanation: You have it right! A
technical mentality requires one to be able to deconstruct difficult issues
into simpler, more manageable stages or parts, and then to attack those
challenges in a sequential and rational way. This analytical talent is useful
in a variety of technical disciplines, including information technology (IT),
engineering, and data analysis, all of which need methodical approaches to
problem-solving.
18.
Data design is how you organize information; data strategy is the management of
the people, processes, and tools used in data analysis.
Answer
·
True
·
False
Explanation: Right on! You have
brilliantly summed up the core of both of these ideas in a single sentence. The
process of arranging data in a manner that is both relevant and logical, while
also guaranteeing that it can be accessed easily and is valuable for analysis
is known as data design. On the other side, controlling the people, processes,
and tools used in data analysis is a component of data strategy. This is done
to ensure that these components are aligned with the aims and objectives of the
business.
19.
What method involves examining and evaluating how a process works currently in
order to get where you want to be in the future?
Answer
·
The
five whys
·
Strategy
·
Gap analysis
·
Data
visualization
Explanation: "Gap Analysis"
refers to the practice of analyzing and assessing how a procedure operates at
the present time in order to bring about the necessary changes in its
functioning at some point in the future. The present status and the future
objectives are compared using gap analysis to determine any gaps or
discrepancies that exist between the two. This information is then used in
strategic planning to close the gaps and achieve the intended results. It's a
methodical strategy for understanding differences in procedures or systems so
you can handle them effectively.
20.
Seeking out new challenges and experiences in order to learn is an example of
which analytical skill?
Answer
·
Curiosity
·
Data
strategy
·
Understanding
context
·
Having
a technical mindset
Explanation: An example of the analytic
ability known as "Curiosity" is when a person actively seeks out new
experiences and challenges in order to further their education. People who are
curious are more likely to investigate, question, and seek information, all of
which help to promote a mentality of lifelong learning. Maintaining an
awareness of current events, adjusting to novel circumstances, and acquiring a
more in-depth grasp of a variety of topics are all facilitated by it.
21. Which of the following
examples best describe the analytical skill of understanding context? Select
all that apply.
Answer
·
Adding
descriptive headers to columns of data in a spreadsheet
·
Working
with facts in an orderly manner
·
Gathering
additional information about data to understand the broader picture
·
Identifying
the motivation behind the collection of a dataset
22.
Fill in the blank: In data analysis, data strategy involves managing the
people, processes, and _____ .
Answer
·
projects
·
procedures
·
consent
·
tools
Explanation: Managing the people,
processes, and technologies in an organization is what "data
strategy" in data analysis means.
23. Identifying a relationship
between two or more pieces of data is known as what?
Answer
·
visualization
·
correlation
·
problem-orientation
·
detail-oriented
thinking
Explanation: The process of determining
whether or not two or more sets of data are related is referred to as
"correlation." The statistical link or dependency of variables may be
measured using correlation, which indicates whether or not changes in one variable
are connected to changes in another variable and how those changes are related.
Understanding the relationships and patterns that exist within datasets is one
of the most basic aspects of data analysis.
24.
As a new data analyst, your boss asks you to perform a gap analysis on one of
their current processes. What does this entail?
Answer
·
Building
a data visualization
·
Asking
the five whys
·
Examining
and evaluating how a process works currently in order to get where you want to
be in the future
·
Determining
the stakeholders
25.
Fill in the blank: In data-driven decision making, data analysts use five
analytical skills of curiosity, understanding context, having a technical
mindset, data design, and _______ .
Answer
·
data strategy
·
forward-looking
·
intuition
·
efficiency
Explanation: Data analysts use their
five analytical skills in the process of generating decisions that are driven
by data. These talents include curiosity, understanding context, having a
technical mindset, data design, and data strategy.
26.
The analytical skill of understanding context entails which of the following?
Answer
·
Breaking
things down into smaller steps or pieces
·
Managing
people, processes, and tools
·
Balancing
roles and responsibilities
·
Understanding
the condition in which something exists or happens
27.
Fill in the blank: _____ involves the ability to break things down into smaller
steps or pieces and work with them in an orderly and logical way.
Answer
·
Data
strategy
·
Curiosity
·
Context
·
A technical mindset
Explanation: "Analytical
Decomposition" refers to the skill of being able to break things down into
more manageable stages or components and then work with those components in an
orderly and logical manner.
28.
Which analytical skill involves managing the people, processes, and tools used
in data analysis?
Answer
·
Understanding
context
·
Data
design
·
Data
strategy
·
Curiosity
Explanation: "Data Strategy"
refers to the analytic competence that includes the management of the people,
procedures, and technologies that are employed in data analysis.
29.
The manager at a music shop notices that more trombones are repaired on the
days when Alex and Jasmine work the same shift. After some investigation, the
manager discovers that Alex is excellent at fixing slides, and Jasmine is great
at shaping mouthpieces. Working together, Alex and Jasmine repair trombones
faster. The manager is happy to have discovered this relationship and decides
to always schedule Alex and Jasmine for the same shifts. In this scenario, the
manager used which quality of analytical thinking?
Answer
·
Visualization
·
Problem-orientation
·
Correlation
·
Big-picture
thinking
Explanation: This situation called for
the managerial character trait of "Pattern Recognition," which refers
to an aspect of analytical thinking. The manager saw a trend, and that was that
when Alex and Jasmine worked the same shift, they were able to effectively fix
more trombones. The management made the decision to schedule them together
after seeing there was a link between their capabilities and the enhanced
efficiency of the repair process. This allowed the manager to take use of their
complimentary strengths. This is an application of analytical thinking in the
real world, where it is used to improve the process of repairing something
based on patterns and correlations that have been discovered.
30.
Fill in the blank: In order to get to the root cause of a problem, a data
analyst should ask “Why?” ________ times.
Answer
·
five
·
three
·
seven
·
four
Explanation: A data analyst should ask
"Why?" numerous times, generally using the "Five Whys"
approach, in order to get to the bottom of an issue and determine its
underlying cause.
31. A company is receiving negative
comments on social media about their products. To solve this problem, a data
analyst uses each of their five analytical skills: curiosity, understanding
context, having a technical mindset, data design, and data strategy. This makes
it possible for the analyst to use facts to guide business strategy and figure
out how to improve customer satisfaction. What is this an example of?
Answer
·
Data
science
·
Gap
analysis
·
Data-driven
decision-making
·
Data
visualization
Explanation: This is an example of
making decisions based on the info available. The data analyst is using their
analytical talents to examine the unfavorable comments made on social media.
These skills include curiosity, recognizing context, having a technological mindset,
data design, and data strategy. The analyst advises the company plan to
increase customer satisfaction by using the facts and insights generated from
the data. The process of making judgments based on the analysis of data is
known as data-driven decision-making, and it is an essential component of using
analytical abilities to enhance a company's operations.
32.
Data analysts following data-driven decision-making use the analytical skills
of curiosity, having a technical mindset, and data design. What other two
analytical skills would they employ? Select all that apply.
Answer
·
knowledge
·
data
strategy
·
efficiency
·
understanding
context
33.
Curiosity is the analytical skill of using your instinct to solve problems.
Answer
·
True
·
False
34.
Adding descriptive headers to columns of data in a spreadsheet is an example of
which analytical skill?
Answer
·
Having
a technical mindset
·
Understanding
context
·
Data
strategy
·
Curiosity
Explanation: One example of the
analytical skill known as "Data Design" is the practice of adding
descriptive headers to the columns of data included inside a spreadsheet. The
process of designing data entails arranging and organizing the data in a manner
that makes it transparent, comprehensible, and readily available for analysis.
The data may be better labeled and organized into categories with the use of
descriptive headers, which also improves the dataset's general usability.
35.
A company has recently tasked their data science team with figuring out what is
causing the decline in production at one of their plants. The data analysts ask
a number of questions trying to get to the root cause of the problem. This
technique is known as what?
Answer
·
Inquiry
·
The five whys
·
Curiosity
·
Strategizing
Explanation: The method that the data
science team used, which consisted of asking a series of questions in order to
get to the bottom of the precipitous drop in productivity, is referred to as
the "Five Whys" strategy. In this approach, the question "Why?"
is asked in a repetitive fashion in order to unearth deeper levels of causality
and determine the underlying reasons that are contributing to an issue. It
contributes to the methodical investigation of the underlying causes of a
problem and the discovery of workable solutions.
36.
Fill in the blank: Data analysts use the five analytical skills of curiosity,
understanding context, having a technical mindset, data design, and data
strategy to make _____ decisions.
Answer
·
forward-looking
·
data-driven
·
intuitive
·
more
efficient
Explanation: For the purpose of
arriving at well-informed conclusions, data analysts use the five analytical
skills of curiosity, understanding context, having a technical mindset, data
design, and data strategy.
37.
Fill in the blank: Gathering additional information about data to understand
the broader picture is an example of understanding _____.
Answer
·
data
·
knowledge
·
problems
·
context
Explanation: One example of having a
"contextual" knowledge is when one gathers more data-related
information with the goal of better seeing the whole picture.
38.
Data analysts ask, “Why?” five times in order to get to the root cause of a
problem.
Answer
·
True
·
False
39.
Curiosity is an analytical skill that involves which of the following?
Answer
·
Seeking out new challenges and experiences
·
Working
with facts in an orderly manner
·
Collaborating
to solve a problem
·
Using
your gut instinct
40.
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?
Answer
·
Data
strategy
·
A technical mindset
·
Understanding
context
·
Curiosity
Explanation: The data analyst is making
use of the analytical technique known as "Analytical Decomposition."
Analytical decomposition is the process of breaking down difficult issues into
its component parts that are more manageable and concise. In this instance, the
analyst is paring down the more substantial problems of decreased profits into
more manageable components. This makes it possible for a more ordered and
methodical investigation of each component, such as the variables impacting
appliance sales and manufacturing costs.41. Fill in
the blank: Correlation is the observation that there is a _____ between two or
more pieces of data.
Answer
·
visualization
·
competition
·
choice
·
relationship
Explanation: The discovery that there is a connection between two or
more pieces of data is what we mean when we talk about correlation.
42. An airport wants to
make its luggage-handling process faster and simpler for travelers. A data
analyst examines and evaluates how the process works currently in order to
achieve the goal of a more efficient process. What methodology do they use?
Answer
·
Strategy
·
Gap analysis
·
Data visualization
·
The five whys
Explanation: "Process Improvement" or "Business Process
Optimization" refers to the approach that the data analyst is using to
investigate and assess how the luggage-handling process works today in order to
accomplish the objective of a more efficient process. This goal is to achieve a
more efficient process. This entails doing an analysis of a process in its
present condition, finding areas in which it may be improved, and putting into
action adjustments that will make the process more effective and efficient. The
idea is to improve results while simultaneously streamlining processes so that
they are more in line with the goals of the company.
43. Fill in the blank: A
data analyst with a technical mindset would break things down into smaller
steps or pieces and work with them in an orderly and ______ way.
Answer
·
curious
·
clever
·
creative
·
logical
Explanation: A data analyst that has a technical mentality will break
things down into more manageable parts or pieces, and then work with those
steps or pieces in an organized and logical manner.
44. As a recently
promoted data scientist one of your responsibilities is the implementation of
data strategy. What would this responsibility include?
Answer
·
Identifying a relationship between two
or more pieces of data
·
Evaluating how a process works
currently in order to get where you want to be in the future
·
Breaking things down into smaller
steps or pieces and working with them in an orderly and logical way
·
Managing the people,
processes, and tools involved