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Course 4: Process Data from Dirty to Clean Exam 2024/2025 Questions With Completed & Verified Solution. $10.49   Add to cart

Exam (elaborations)

Course 4: Process Data from Dirty to Clean Exam 2024/2025 Questions With Completed & Verified Solution.

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  • Course
  • WGU D467 2024
  • Institution
  • WGU D467 2024

Course 4: Process Data from Dirty to Clean Exam 2024/2025 Questions With Completed & Verified Solution.

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  • September 17, 2024
  • 14
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • WGU D467 2024
  • WGU D467 2024
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phylliswambui
Course 4: Process Data from Dirty to
Clean

A/B testing - ANS The process of testing two variations of the same web page to determine
which page is more successful at attracting user traffic and generating revenue

Access control - ANS Features such as password protection, user permissions, and encryption
that are used to protect a spreadsheet

Accuracy - ANS The degree to which data conforms to the actual entity being measured or
described

Action-oriented question - ANS A question whose answers lead to change

Administrative metadata - ANS Metadata that indicates the technical source of a digital asset

Agenda - ANS A list of scheduled appointments

Algorithm - ANS A process or set of rules followed for a specific task

Analytical skills - ANS Qualities and characteristics associated with using facts to solve
problems

Analytical thinking - ANS The process of identifying and defining a problem, then solving it by
using data in an organized, step-by-step manner

Attribute - ANS A characteristic or quality of data used to label a column in a table

Audio file - ANS Digitized audio storage usually in an MP3, AAC, or other compressed format

AVERAGE - ANS A spreadsheet function that returns an average of the values from a selected
range

Bad data source - ANS A data source that is not reliable, original, comprehensive, current, and
cited (ROCCC)

Bias - ANS A conscious or subconscious preference in favor of or against a person, group of
people, or thing

Big data - ANS Large, complex datasets typically involving long periods of time, which enable
data analysts to address far-reaching business problems

, Boolean data - ANS A data type with only two possible values, usually true or false

Borders - ANS Lines that can be added around two or more cells on a spreadsheet

Business task - ANS The question or problem data analysis answers for a business

CASE - ANS A SQL statement that returns records that meet conditions by including an if/then
statement in a query

CAST - ANS A SQL function that converts data from one datatype to another

Cell reference - ANS A cell or a range of cells in a worksheet typically used in formulas and
functions

Changelog - ANS A file containing a chronologically ordered list of modifications made to a
project

Clean data - ANS Data that is complete, correct, and relevant to the problem being solved

Cloud - ANS A place to keep data online, rather than a computer hard drive

COALESCE - ANS A SQL function that returns non-null values in a list

Compatibility - ANS How well two or more datasets are able to work together

Completeness - ANS The degree to which data contains all desired components or measures

CONCAT - ANS A SQL function that adds strings together to create new text strings that can be
used as unique keys

CONCATENATE - ANS A spreadsheet function that joins together two or more text strings

Conditional formatting - ANS A spreadsheet tool that changes how cells appear when values
meet specific conditions

Confidence interval - ANS A range of values that conveys how likely a statistical estimate
reflects the population

Confidence level - ANS The probability that a sample size accurately reflects the greater
population

Confirmation bias - ANS The tendency to search for or interpret information in a way that
confirms pre-existing beliefs

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