1. Curiosity is an analytical skill that involves which of the following?
- Seeking out new challenges and
experiences
- Collaborating to solve a problem
- Working with facts in an orderly manner
- Using your gut instinct
2. Adding descriptive
headers to columns of data in a spreadsheet is an example of which analytical
skill?
- Understanding context
- Big-picture thinking
- Data strategy
- Curiosity
Explanation: The
addition of descriptive headings to columns in a spreadsheet is an excellent
example of how data may be organized and labeled. In other words, it is the
same as giving each item of information its own unique name and location, which
makes the data easier to comprehend and more accessible. If you want to conduct
an efficient data analysis, organization is the unsung hero!
3. Having a technical
mindset is an analytical skill involving what?
- Breaking things
down into smaller steps or pieces
- Understanding the condition in which something exists or happens
- Balancing roles
and responsibilities
- Managing
people, processes, and tools
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
Explanation: Absolutely!
I couldn't agree with you more. When it comes to data design, the most
important thing is to structure and organize information in a manner that makes
sense, making sure that it is readily accessible and helpful. When compared to
this, data strategy refers to the more comprehensive plan that encompasses the
management of the people, procedures, and technologies that are used across the
full data analysis lifecycle. It is comparable to having a library that is
well-organized (data design) and a strategic plan for how that library
functions (data strategy).
5. Correlation is the
aspect of analytical thinking that involves figuring out the specifics that
help you execute a plan.
- True
- False
Explanation: But
it's not quite there yet! In reality, correlation is primarily concerned with
determining the ties or connections that exist between different variables or
factors. Recognizing that when one thing changes, another item tends to change
in a certain manner is the awareness of this phenomenon. It is not necessary
about carrying out a plan, but more about recognizing how the many components
are connected to one another. There is a possibility that the portion of
analytical thinking that includes determining particulars for the purpose of
carrying out a plan is more in line with thinking that is focused on accuracy
or details. Ensure that your analytical gears continue to spin!
6. What method involves
asking numerous questions in order to get to the root cause of a problem?
- Curiosity
- Inquiry
- The Five whys
- Strategizing
Explanation: It is
common practice to refer to the methodology known as the "Five Whys"
technique. This strategy entails asking a number of questions in order to
determine the underlying reason of an issue. You keep asking "why"
many times (typically about five times) in order to dig down and uncover the
underlying source of a problem. This is a simple strategy that is quite
effective. The process is analogous to removing the layers of an onion in order
to get to the root of the issue.
7. 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?
- Strategy
- Data
visualization
- The five whys
- Gap
analysis
Explanation: An
strategy that is often connected with methodologies such as Lean Six Sigma is
the process improvement methodology, which is most likely being used by the
data analyst in this instance. A approach that includes reviewing and assessing
existing processes in order to discover areas that may be improved, decrease
inefficiencies, and improve overall performance is called the process-based
methodology. In other words, it is similar to putting on a detective hat in
order to analyze the way things are being done and discovering methods to
improve them.
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
9. Fill in the blank:
Being able to identify a relationship between two or more pieces of data
describes _____.
- visualization
- problem-orientation
- detail-oriented thinking
- correlation
Explanation: Correlation
is defined as the ability to recognize a connection between two or more pieces
of data with respect to one another. It is similar to identifying how changes
in one variable could be related with changes in another variable, so building
a relationship in the realm of data.
10. Data analysts ask,
“Why?” five times in order to get to the root cause of a problem.
- True
- False
Explanation: Absolutely!
There is a strategy known as the "Five Whys" methodology, which
involves asking the question "Why?" many times (usually five times)
in order to probe deeper into the underlying cause of an issue. It is similar
to removing the layers of a problem in order to discover the basic root of the
problem. The question "Why?" should be asked numerous times in order
to discover not just the symptoms of a problem but also the underlying causes
of the issue.
11. 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?
- Data
visualization
- Gap analysis
- Data-driven
decision-making
- Data science
Explanation: This
is a fantastic illustration of making decisions based on evidence to consider!
In order to evaluate social media comments, extract insights, and drive the
business plan for enhancing customer happiness, the data analyst is applying
their analytical talents, which include curiosity, recognizing context, having
a technical mindset, designing data, and having a data strategy. It is similar
to transforming raw data into choices that can be implemented, with information
serving as the compass for making changes to a firm.
12. Seeking out new
challenges and experiences in order to learn is an example of which analytical
skill?
- Curiosity
- Data strategy
- Having a
technical mindset
- Understanding
context
Explanation: Clearly,
you are showing a great deal of interest! One of the most important aspects of
being inquisitive is actively seeking out new experiences and endeavors to
learn from. One may say that it is similar to having a never-ending thirst for
information and a propensity to investigate the unknown.
13. Identifying the
motivation behind data collection and gathering additional information are
examples of which analytical skill?
- A technical
mindset
- Data strategy
- Data design
- Understanding
context
Explanation: In
order to demonstrate an awareness of context, some examples include determining
the objective of the data collection process and collecting extra information.
It entails going beyond the data itself and gaining a knowledge of the larger
environment in which the data is acquired. This ability assists in the process
of making judgments and interpretations that are guided by a greater grasp of
the circumstance or issue that is currently being faced. Remain committed to
peeling back the layers of context!
14. 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.
- A technical
mindset
- Context
- Curiosity
- Data strategy
Explanation: Analytical
thinking is a talent that incorporates the capacity to break things down into
smaller stages or parts and manage them in an organized and logical manner.
This ability is referred to as the ability to break things down. It's almost
like having a mental toolbox that allows you to break down difficult situations
into aspects that are more manageable and then approach them in a methodical
manner.
15. Fill in the blank:
Data strategy involves _____ the people, processes, and tools used in data
analysis.
- choosing
- visualizing
- managing
- supervising
Explanation: Management
of the people, procedures, and technologies that are used in data analysis is
an essential component of data strategy. The situation is analogous to that of
a conductor who is conducting a symphony of data processes in order to
guarantee harmony and efficiency throughout the analytical voyage.
16. 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?
- Visualization
- Problem-orientation
- Big-picture
thinking
- Correlation
Explanation: This
situation provided the manager with an opportunity to exhibit their analytical
thinking skills by demonstrating the ability to recognize linkages. After
seeing a trend, which was that more trombones were fixed on the days when Alex
and Jasmine worked the same shift, the manager was able to identify a
beneficial interaction between the two individuals by studying the unique
abilities that each person brings to the table. Because of this, a deliberate
choice was made to schedule Alex and Jasmine together in order to make the most
of the complementing talents that they possess. It's like putting the pieces
together to make the process of mending more efficient!
17. The five whys is a
technique that involves asking, “Why?” five times in order to achieve what
goal?
- Put a plan into
action
- Visualize how a
process should look in the future
- Use facts to
guide business strategy
- Identify the
root cause of a problem
Explanation: Within
the context of the Five Whys approach, the question "Why?" is posed
five times with the intention of achieving the objective of determining the
underlying cause of an issue. The process is analogous to removing the layers
of a problem in order to uncover the fundamental causes that are behind it.
Through the use of the question "Why," you are able to go further
into the sequence of occurrences or circumstances that are contributing to a
problem until you get at the root cause of the issue.
18. 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?
- Data
visualization
- Strategy
- The five whys
- Gap analysis
19. 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?
- A technical
mindset
- Data strategy
- Understanding
context
- Curiosity
Explanation: It
seems as if the data analyst is using the skill of issue decomposition in this
situation. The broader problem of lesser earnings may be broken down into
smaller, more manageable components (such as fewer sales and greater
manufacturing expenses), which allows them to conduct a more thorough analysis
of each individual facet of the problem. It is similar to taking on one
component at a time in order to have a better understanding of the total issue
and to handle it.
20. Understanding
context is an analytical skill best described by which of the following? Select
all that apply
- Working with
facts in an orderly manner
- Gathering
additional information about data to understand the broader picture
- Adding
descriptive headers to columns of data in a spreadsheet
- Identifying the
motivation behind the collection of a dataset
21. 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
- True
- False
22. Which analytical
skill involves managing the people, processes, and tools used in data analysis?
- Curiosity
- Data
strategy
- Data design
- Understanding
context
Explanation: In the field of data analysis, the
ability to manage the people, procedures, and tools that are used is sometimes
referred to as "Data Management" or "Data Governance." This
ability involves the coordination and management of numerous areas relating to
data, with the goal of ensuring that the data is correct, safe, and used in an
efficient manner inside an organization. Within the field of data analysis, the
management of people, processes, and technologies is a significant contributor
to the preservation of data integrity and the maximization of its value for
decision-making.