1. Data analysis is the various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data.
Answer
·
True
·
False
Explanation: You have it down pat! The process of data analysis is like
a dance, with all of its components coming together in perfect sync. It's not
enough to merely have access to the raw data; how that data is handled,
structured, and eventually put to use to draw useful conclusions is as
critical. Like a symphony of many types of data! Do you have any particular
questions or concerns concerning data analysis?
2. In data analytics, a
model is a group of elements that interact with one another.
Answer
·
True
·
False
Explanation: Without a doubt! When we compare data analytics to
conducting a symphony, the role of a model is analogous to that of the
conductor. It is a representation of a system, process, or idea that is
organized in a way that makes it possible to understand, forecast, or optimize
it. Models are an essential component of the analytics orchestra, serving an
important purpose in all aspects of the process, including the forecasting of
trends, the categorization of data, and the formulation of choices. What got
you interested in data analytics in the first place?
3. Fill in the blank:
The primary goal of a data _____ is to create new questions using data.
Answer
·
designer
·
analyst
·
engineer
·
scientist
Explanation: The fundamental objective of a data analyst is to generate
new questions by using the data in their possession. When analyzing data, you
are not just looking for answers; you are also looking for new insights and
generating new questions, both of which may drive additional research and
knowledge.
4. Fill in the blank:
The term _____ is defined as an intuitive understanding of something with
little or no explanation.
Answer
·
personal opinion
·
rational thought
·
gut instinct
·
awareness
Explanation: One definition of the word "intuition" is
"an understanding of something with little or no explanation gained
through direct experience." It's that gut feeling or that initial insight
that doesn't necessarily come with a clear reason, but it frequently turns out
to be unexpectedly right in the long run.
5. A company defines a
problem it wants to solve. Then, a data analyst gathers relevant data, analyzes
it, and uses it to draw conclusions. The analyst shares their analysis with
subject-matter experts, who validate the findings. Finally, a plan is put into
action. What does this scenario describe?
Answer
·
Data science
·
Data-driven
decision-making
·
Customer service
·
Identification of trends
Explanation: This example walks through the usual steps involved in a
decision-making cycle that is driven by data. It requires defining the issue,
collecting data, doing analysis on that data, having that analysis validated by
specialists in the field, and, lastly, putting into action a strategy that is
based on the insights acquired from the data analysis. It's kind of like a
dance that's been choreographed very beautifully, where every step adds
something to the whole thing.
6. What do
subject-matter experts do to support data-driven decision-making? Select all
that apply.
Answers
·
Offer insights into the
business problem
·
Review the results of data
analysis and identify any inconsistencies
·
Collect, transform, and organize data
·
Validate the choices made
as a result of the data insights
7. You have just
finished analyzing data for a marketing project. Before moving forward, you
share your results with members of the marketing team to see if they might have
additional insights into the business problem. What practice does this support?
Answer
·
Data analytics
·
Data science
·
Data-driven
decision-making
·
Data management
Explanation: Before going on to the next step, it is best practice to
discuss the findings of your data analysis with members of the marketing team.
This approach fosters cooperation and feedback from across functional areas.
This is consistent with the notion of encouraging cooperation and making use of
a variety of points of view in order to get a more in-depth comprehension of
the issue that the company is facing. It is a method of validating and
enriching your results by adding the perspectives and areas of expertise of
team members who come from a variety of backgrounds and fields.
8. You read an
interesting article about data analytics in a magazine and want to share some
ideas from the article in the discussion forum. In your post, you include the
author and a link to the original article. This would be an inappropriate use
of the forum.
Answer
·
True
·
False
Explanation: In point of fact, I think that approach to knowledge
dissemination is both responsible and ethical. You are respecting the
intellectual property of the original author and allowing others to access the
source material by providing a direct link to the article while also giving
credit to the original author. It honors the author's contribution while also
fostering openness in the process. Therefore, it seems that this is a
legitimate use of the forum in this particular instance.
Shuffle Q/A 1
9. Which of the
following options describes data analysis?
Answer
·
The various elements that interact
with one another in order to provide, manage, store, organize, analyze, and
share data
·
Creating new ways of modeling and
understanding the unknown by using raw data
·
The collection,
transformation, and organization of data in order to draw conclusions, make
predictions, and drive informed decision-making
·
Using facts to guide business strategy
10. In data analytics,
what term describes a collection of elements that interact with one another to
produce, manage, store, organize, analyze, and share data?
Answer
·
The cloud environment
·
A modeling system
·
A data ecosystem
·
A database
Explanation: The phrase "data ecosystem" is often used to
refer to a concept that represents a set of pieces in data analytics that
interact to create, manage, store, organize, analyze, and distribute data.
These elements work together to do these things. This ecosystem is comprised of
the many different components and procedures that are essential to the data
management life cycle inside an organization.
11. Select the best
description of gut instinct.
Answer
·
Choosing facts that complement your
personal experiences
·
An intuitive understanding
of something with little or no explanation
·
Manipulating data to match your
intuition
·
Using your innate ability to analyze
results
12. A furniture
manufacturer wants to find a more environmentally friendly way to make its
products. A data analyst helps solve this problem by gathering relevant data,
analyzing it, and using it to draw conclusions. The analyst then shares their
analysis with subject-matter experts from the manufacturing team, who validate
the findings. Finally, a plan is put into action. This scenario describes
data-driven decision making.
Answer
·
True
·
False
Explanation: To the point! This situation is a great example of how the
process of making decisions based on data should be carried out. After the
original issue has been recognized, relevant data will be acquired and
evaluated in order to make conclusions. Next, the results will be validated by
subject-matter experts, and finally, an educated strategy will be put into
action. It's a fantastic illustration of how data analysis may be used to
direct environmentally responsible decision-making in the industrial industry.
13. Fill in the blank:
_______ are an important part of data-driven decision-making because they are
people familiar with the business problem and can offer insight into the
results of data analysis.
Answer
·
Customers
·
Competitors
·
Subject-matter experts
·
Stakeholders
Explanation: Individuals who are acquainted with the business issue and
are able to give insight into the outcomes of data analysis are known as
subject-matter experts. Subject-matter experts are a crucial aspect of
data-driven decision-making because they are individuals who are familiar with
the business challenge. Their knowledge helps to guarantee that the insights
gleaned from the data are consistent with the myriad of nuanced and practical
facets of the particular company or industry setting.
14. Consulting with
experts in the marketing department about your marketing analysis is an example
of what process?
Answer
·
Data analytics
·
Data-driven
decision-making
·
Data management
·
Data science
Explanation: During the validation stage of the data-driven
decision-making process, one example of what to do is to discuss the findings
of your marketing study with specialists working in the marketing department.
Before going ahead with any decision or action, you should validate and check
the accuracy, relevance, and practicality of the results of your data analysis
by soliciting the opinion and insights of experts in the subject. Making
certain that the aims of the marketing department and the context of the actual
world are taken into account in the analysis is an important step.
15. You have recently
subscribed to an online data analytics magazine. You really enjoyed an article
and want to share it in the discussion forum. Which of the following would be
appropriate in a post? Select all that apply.
Answer
·
Checking your post for
typos or grammatical errors.
·
Including an advertisement for how to
subscribe to the data analytics magazine.
·
Giving credit to the
original author.
·
Including your own
thoughts about the article.
16. Which of the
following could be elements of a data ecosystem? Select all that apply
Answer
·
Sharing data
·
Producing data
·
Gaining insights
·
Managing data
17. If you are using
data-driven decision-making, what action steps would you take? Select all that
apply.
Answer
·
Surveying customers about results,
conclusions, and recommendations
·
Gathering and analyzing
data
·
Sharing your results with
subject matter experts
·
Drawing conclusions from
your analysis
18. What do
subject-matter experts do to support data-driven decision-making? Select all
that apply.
Answer
·
Collect, transform, and organize data
·
Offer insights into the
business problem
·
Review the results of data
analysis and identify any inconsistencies
· Validate the choices made as a result of the data insights
Shuffle Q/A 2
19. Fill in the blank:
When following data-driven decision-making, a data analyst will consult with
______ .
Answer
·
subject matter experts
·
stakeholders
·
managers
·
customers
Explanation: When making decisions in accordance with data-driven
processes, a data analyst will confer with subject-matter experts (also known
as SMEs). Because of this cooperation, the data analysis is guaranteed to be in
line with the expertise and real-world context of those individuals who are
aware about the particular issue or subject.
20. What is the purpose
of data analysis? Select all that apply.
Answer
·
To drive informed
decision-making
·
To create models of data
·
To draw conclusions
·
To make predictions
21. A data analyst is
someone who does what?
Answer
·
Designs new products
·
Creates new questions using data
·
Solves engineering problems
·
Finds answers to existing
questions by creating insights from data sources
Explanation: An individual who collects, processes, and analyzes data in
order to derive relevant insights and provide direction for decision-making is
known as a data analyst. They use a wide variety of tools and methods in order
to assess data, recognize patterns, and communicate results in a way that is
crystal obvious and easy to comprehend. Data analysts provide an important
function by assisting businesses in making decisions that are consistent with
the available empirical facts.
22. What tactics can a
data analyst use to effectively blend gut instinct with facts? Select all that
apply.
Answer
·
Use their knowledge of how
their company works to better understand a business need.
·
Focus on intuition to choose which
data to collect and how to analyze it.
·
Ask how to define success for a
project, but rely most heavily on their own personal perspective.
·
Apply their unique past
experiences to their current work, while keeping in mind the story the data is
telling.
23. To get the most out
of data-driven decision-making, it’s important to include insights from people
very familiar with the business problem. What are these people called?
Answer
·
Subject-matter experts
·
Customers
·
Stakeholders
·
Competitors
Explanation: "Subject-matter experts" (SMEs) are sometimes
referred to as people who are well knowledgeable with the business challenge
and are vital for generating significant insights in data-driven
decision-making. Their in-depth expertise of various fields or domains provides
a significant layer of understanding to the process of data analysis, ensuring
that the insights are in alignment with the practical elements and intricacies
of the company.
24. A music streaming
service is looking to increase user engagement on their platform. The CEO
decides to leverage the company's user data and tasks the data analysts with
uncovering unknown trends and characteristics of the companies user base. This
strategy is known as what?
Answer
·
Data analytics decision-making
·
Data science decision-making
·
Data management decision-making
·
Data-driven
decision-making
Explanation: "Data mining" refers to the practice of analyzing
user data in order to identify previously undiscovered patterns and traits,
with the ultimate goal of increasing user engagement with a given platform.
Data mining is the process of investigating and examining huge databases with
the goal of finding patterns, connections, and insights that may not be
immediately obvious. In the context of the music streaming service, data mining
has the potential to unearth previously unknown preferences, user behaviors, or
trends, all of which may provide insight into potential tactics for increasing
user engagement on the platform.
25. You read an
interesting article in a magazine and want to share it in the discussion forum.
What should you do when posting? Select all that apply.
Answer
·
Check your post for typos
or grammatical errors
·
Include your email address for people
to send questions or comments
·
Make sure the article is
relevant to data analytics
·
Take credit for creating the article
26. A data scientist is
someone who does what?
Answer
·
Creates new questions
using data
·
Finds answers to existing questions by
creating insights from data sources
·
Solves engineering problems
·
Solves engineering problems
Explanation: A data scientist is a specialist who examines and
interprets extensive data sets in order to provide insight for decision-making
inside an organization. In order to draw meaningful conclusions from data, they
use a mixture of statistical analysis, methods of machine learning, and prior
expertise in the relevant field. Data scientists play an essential part in the
process of spotting patterns, trends, and correlations that may be used to the
resolution of business issues, the formulation of forecasts, and the
acceleration of innovation. Coding, statistical modeling, and the capacity to
effectively convey results are often required of them in the course of their
employment.
27. Data analysts act as
detectives to uncover clues within the data. Like a detective, a data analyst
may use their _______ to solve business problems.
Answer
·
personal opinion
·
rational thought
·
gut instinct
·
awareness
Explanation: A data analyst's job is similar to that of a detective in
that they employ their investigative talents to solve business challenges. They
collect, process, and analyze the data in order to discover patterns,
correlations, and insights that may be used to influence decision-making and
problem-solving. A significant component of the function of the data analyst is
the capacity to think analytically and critically, much like how a detective
uses their investigation abilities to solve crimes. This is analogous to how a
detective utilizes their investigative skills to solve cases.
28. In data-driven
decision-making, a data analyst would share their results with subject matter
experts and draw conclusions from their analysis. What else would a data
analyst do in data-driven decision-making?
Answer
·
Identification of trends
·
Determining the stakeholders.
·
Survey customers about results,
conclusions, and recommendations
·
Gather and analyze data
Shuffle Q/A 3
29. Fill in the blank:
_________ is the act of consulting with subject-matter experts about the
results of your data analysis.
Answer
·
Data analytics
·
Data science
·
Data management
·
Data-driven
decision-making
Explanation: "Validation" refers to the process of discussing
the findings of your data analysis with those who are knowledgeable in the
topic area. It entails soliciting the opinion and observations of persons who
have domain knowledge and experience in the particular field or sector that is
pertinent to the data analysis. The purpose of validation is to check that the
results are consistent with the particulars of the business issue as they exist
in the actual world.
30. Data ______ is the
collection, transformation, and organization of data in order to draw
conclusions, make predictions, and drive informed decision-making.
Answer
·
science
·
analysis
·
ecosystem
·
life cycle
Explanation: The process of collecting, transforming, and organizing
data in order to draw conclusions, make forecasts, and drive informed
decision-making is referred to as data analysis. It entails analyzing
unprocessed data in order to identify patterns, come up with new insights, and
give a foundation for making choices that have the potential to favorably
affect business results.
31. Fill in the blank:
The primary goal of a data _____ is to find answers to existing questions by
creating insights from data sources.
Answer
·
engineer
·
scientist
·
analyst
·
designer
Explanation: The fundamental objective of a data analyst is to provide
new insights from various data sources in order to answer questions that have
already been posed. Data analysts play a critical part in the process of
extracting useful information from raw data. They provide significant insights
that help drive corporate strategies and guide decision-making processes.
32. Sharing your results
with subject matter experts and gathering and analyzing data are carried out in
data driven-decision-making. What else is included in this process?
Answer
·
Determining the stakeholders
·
Identification of trends
·
Drawing conclusions from
your analysis.
·
Surveying customers about results,
conclusions, and recommendations
33. Fill in the blank:
The people very familiar with a business problem are called _____. They are an
important part of data-driven decision-making.
Answer
·
subject-matter experts
·
customers
·
competitors
·
stakeholders
Explanation: "Subject-matter experts" (SMEs) are those who
have an in-depth understanding of a certain business challenge. They are an
essential component of decision-making that is informed by data because the
useful insights that they give as a consequence of their knowledge help to
improve the precision and applicability of the findings of data analysis.
Working together with subject matter experts (SMEs) guarantees that choices
will be well-informed and suitable for the particular circumstances of the business
issue.
34. Fill in the blank:
When posting in a discussion forum, you should always check your post for
_______ and grammatical errors
Answer
·
support
·
typos
·
importance
·
popularity
Explanation: When participating in a discussion forum, it is important
to double check your posts to ensure that they are free of typos and other
types of problems. This helps to ensure that your communication is clear and
professional, leading to a conversation that is both more productive and more
interesting.
35. Fill in the blank:
Hardware, software, and the cloud all interact with each other to store and
organize data in a _____.
Answer
·
cloud environment
·
modeling system
·
database
·
data ecosystem
Explanation: A "data ecosystem" is a system that involves
hardware, software, and the cloud, all of which communicate with one another to
store and organize data. This ecosystem is made up of all of the many parts and
pieces of technology that collaborate with one another to manage and analyze
data as effectively as possible.
36. Gut instinct is an
intuitive understanding of something with little or no explanation.
Answer
·
True
·
False
Explanation: Without a doubt! The term "gut instinct" refers
to an intuitive sensation or knowledge that arises as a result of experience
and intuition, sometimes in the absence of a concise or logical explanation.
It's almost like a brisk, automatic processing of information that helps
influence your judgment and decision-making.
37. You have just
received the results of your latest analysis about the effectiveness of your
firm’s recent marketing campaign. However, because you want to follow
data-driven decision-making you share your results with colleagues from the
marketing department for their validation. In this role, these colleague’s are
acting as what?
Answer
·
competitors
·
subject-matter experts
·
customers
·
stakeholders
Explanation: Subject-matter experts (SMEs) are your colleagues in the
marketing department who are confirming the outcomes of your study. They are
doing so in their capacity as a subject-matter expert. Because of their
extensive knowledge in marketing, they are able to provide insightful
recommendations, validate the precision of your results, and guarantee that the
research is in line with the actual circumstances surrounding the marketing
campaign. In order to make decisions based on the data collected, it is essential
to work together with smaller businesses.
38. Finding answers to
existing questions by creating insights from data sources is the primary goal
of a data analyst.
Answer
·
True
·
False
Explanation: You did a fantastic job! It is true that the fundamental
objective of a data analyst is to discover solutions to previously posed
queries by deriving insights from various data sources. They play a significant
part in the process of extracting relevant information, recognizing patterns,
and delivering important insights, all of which assist to the making of
informed decisions.
Shuffle Q/A 4
39. Fill in the blank:
In data science, ________ is when a data analyst uses their unique past
experiences to understand the story the data is telling.
Answer
·
rational thought
·
gut instinct
·
awareness
·
personal opinion
Explanation: In the field of data science, "intuition" refers
to the process by which a data analyst draws on the specific experiences
they've had in the past to comprehend the narrative that the data is attempting
to convey. It is that gut feeling or quick understanding that arises as a
result of a mix of specialized knowledge, extensive experience, and an in-depth
comprehension of the data context.
40. The objective of
data analysis is to draw conclusions, make predictions, and drive informed
decision-making. In order to do this, a data analyst must do which of the
following with data? Select all that apply.
Answer
·
Organize it
·
Transform it
·
Collect it
·
Sell it
41. Fill in the blank:
Data ecosystems are made up of elements that _____ with each other. This makes
it possible for them to produce, manage, store, organize, analyze, and share
data.
Answer
·
interact
·
unite
·
gain insights
·
problem-solve
Explanation: Elements in a data ecosystem "interact" with one
another, making up the ecosystem as a whole. This connection is vital for the
smooth flow of data within a particular ecosystem, as it enables the
generation, administration, storage, organization, analysis, and exchange of
data.
42. Fill in the blank:
The primary goal of a data _____ is to create new questions using data, instead
of analyzing data to find answers to existing questions.
Answer
·
designer
·
scientist
·
engineer
·
analyst
Explanation: Instead of studying data in order to discover answers to
previously posed questions, the main objective of a data scientist is to
develop new questions using the data that is available. Data scientists are
often engaged in exploratory analysis and the generation of hypotheses. In this
way, they contribute to the formulation of new questions and direct subsequent
study. Within the realm of data science, this position is both stimulating and
forward-thinking in nature.
43. Fill in the blank:
The terms _____ are defined as an intuitive understanding of something with
little or no explanation. Select all that apply.
Answer
·
awareness
·
gut instinct
·
personal opinion
·
rational thought
Explanation: The phrases "intuition" and "gut
feeling" mean an intuitive knowledge of something with little or no
explanation. Intuition is synonymous with "gut feeling." These
phrases are typically used to describe an instant, instinctual understanding of
a situation or notion that is based on experience and the processing that
occurs in the subconscious. In many different areas of study, including data
analysis and decision-making, intuition plays an important part.
44. A data analyst at
Billings Upholstery is trying to find more environmentally friendly way to
produce furniture. The data analyst gathers relevant data, analyzes it, and
uses it to draw conclusions. Then they share this analysis with subject-matter
experts in manufacturing. Once the subject-matter experts have reviewed the
analysis, a plan is put into action. What process does this scenario describe?
Answer
·
Customer service
·
Data science
·
Data-driven
decision-making
·
Identification of trends
45. Fill in the blank: A
collection of elements that interact with one another to produce, manage,
store, organize, analyze, and share data is known as a data ______ .
Answer
·
environment
·
model
·
cloud
·
ecosystem
Explanation: To the ecosystem! It's almost like a
buzzing community of data, where bits and bytes mix and mingle with each other
and work together to make things happen.
