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Introduction to Analytics - D491 Questions with Correct Answers

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What is an example of a general purpose language used for the foundational elements of data science? - ANSWERSC, C++, and Java Which mathematical field is particularly useful in data science? - ANSWERSLinear Algebra In a data science team, who generally frames the business-relevant questions and solutions? - ANSWERSthe manager The second group of steps in the data science pathway are known as "wrangling." What does wrangling mean in this context? - ANSWERSgetting data, cleaning data, exploring data, and refining data What step follows planning in the data science pathway? - ANSWERSpreparing (wrangling) the data data science - ANSWERSa field of study that involves using computational and statistical techniques to extract insights and knowledge from data data analytics - ANSWERSa coming together to solve a business problem through the creative use of data and statistical modeling to tell a compelling story that drives strategic action and results in business value semi-structured data - ANSWERSTextual data files with a discernible pattern that enables parsing unstructured data - ANSWERSData does not exist in a fixed location and can include text documents, PDFs, voice messages, emails Quasi-structured data - ANSWERSTextual data with erratic data formats that can be formatted with effort, tools, and time Algorithm - ANSWERSa set of instructions or steps that a program follows to solve particular problems or perform specific tasks A/B testing - ANSWERSa method of comparing two versions of an application to determine which one performs better; this allows organizations to visually see which method works best with their environments

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Introduction to Analytics - D491
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Introduction to Analytics - D491

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August 11, 2025
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Written in
2025/2026
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Introduction to Analytics - D491
Questions with Correct Answers
What is an example of a general purpose language used for the foundational elements
of data science? - ANSWERSC, C++, and Java

Which mathematical field is particularly useful in data science? - ANSWERSLinear
Algebra

In a data science team, who generally frames the business-relevant questions and
solutions? - ANSWERSthe manager

The second group of steps in the data science pathway are known as "wrangling." What
does wrangling mean in this context? - ANSWERSgetting data, cleaning data, exploring
data, and refining data

What step follows planning in the data science pathway? - ANSWERSpreparing
(wrangling) the data

data science - ANSWERSa field of study that involves using computational and
statistical techniques to extract insights and knowledge from data

data analytics - ANSWERSa coming together to solve a business problem through the
creative use of data and statistical modeling to tell a compelling story that drives
strategic action and results in business value

semi-structured data - ANSWERSTextual data files with a discernible pattern that
enables parsing

unstructured data - ANSWERSData does not exist in a fixed location and can include
text documents, PDFs, voice messages, emails

Quasi-structured data - ANSWERSTextual data with erratic data formats that can be
formatted with effort, tools, and time

Algorithm - ANSWERSa set of instructions or steps that a program follows to solve
particular problems or perform specific tasks

A/B testing - ANSWERSa method of comparing two versions of an application to
determine which one performs better; this allows organizations to visually see which
method works best with their environments

, variables - ANSWERSa container or storage location that holds a value; variables can
be manipulated throughout the data analysis process to achieve the necessary results

data lakes - ANSWERSa storage place that allows organizations to store large amounts
of structured and unstructured data in its true format and allows it to scale until it is
needed for applications

stakeholders - ANSWERSany person, group, or organization with an interest or concern
in the activities, decisions, or outcomes of the organization or business

Scope - ANSWERSrefers to the boundaries of a project, including the objectives, goals,
deliverables, tasks, and resources required to complete the project successfully

Project Sponsor - ANSWERSa key stakeholder who provides the project with the
necessary support and resources and ensures that the project is aligned with the
organization's goals and values

Project Manager - ANSWERSleads the team from the planning to completion phases of
a project, ensuring that it meets the project's goals within the specified time, budget, and
resource restraints

financial operations - ANSWERSmanage the project's financial resources; are involved
in planning, budgeting, and reporting processes

database administrator - ANSWERSensures the project's data is organized, secured,
and easily accessible by designing, implementing, and maintaining the project's
database system

researchers - ANSWERSdesign and execute research studies, collect and analyze
data, and interpret research findings

Partners - ANSWERSindividuals involved in the project's development, objectives, and
execution; partners can bring valuable resources, expertise, and market knowledge to
the organization, and their success is often closely tied to the business's success

Version Control - ANSWERSA process to keep track of what changes were made to
what files so that a specific version can be referred to and improvements in multiple
versions can be merged together.

Project sponsor - ANSWERSthe executive who has authorized the project and is
responsible for ensuring the project aligns with the company's strategic goals

End users (customers) - ANSWERSThe end users are the ultimate beneficiaries of the
project

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