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WGU D491 INTRODUCTION TO ANALYTICS OA EXAM AND STUDY GUIDE NEWEST 2024 ACTUAL EXAM QUESTIONS AND CORRECT VERIFIED ANSWERS|ALREADY GRADED A+ $14.49   Add to cart

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WGU D491 INTRODUCTION TO ANALYTICS OA EXAM AND STUDY GUIDE NEWEST 2024 ACTUAL EXAM QUESTIONS AND CORRECT VERIFIED ANSWERS|ALREADY GRADED A+

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WGU D491 INTRODUCTION TO ANALYTICS OA EXAM AND STUDY GUIDE NEWEST 2024 ACTUAL EXAM QUESTIONS AND CORRECT VERIFIED ANSWERS|ALREADY GRADED A+

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  • February 14, 2024
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  • 2023/2024
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WGU D491 INTRODUCTION TO ANALYTICS OA EXAM
AND STUDY GUIDE NEWEST 2024 ACTUAL EXAM
QUESTIONS AND CORRECT VERIFIED
ANSWERS|ALREADY GRADED A+




What term refers to the arrangement and organization of
data used in the analysis process? - ANSWER-dataset
structure


What are the activities of the data modeling phase? -
ANSWER-partitioning the dataset into training, validation,
and test sets
selecting relevant features for modeling
identifying candidate models and analysis techniques


What are the responsibilities of a database administrator? -
ANSWER-Database administrators ensure the project's data is
organized, secured, and easily accessible by designing,
implementing, and maintaining the project's database
system.

,data analytics - ANSWER-Analyzing data to extract insights
and inform decision-making.


Includes using various techniques and tools to explore, clean,
transform, and model data and visualize and communicate
findings.


data science - ANSWER-A multidisciplinary field involving
various statistical, mathematical, and computational methods
to extract meaningful insights and knowledge from data.


What is the difference between data analytics and data
science? - ANSWER-Data analytics is the process of analyzing
data to extract insights, while data science involves building
and testing models to make predictions.


__________ focuses on developing new algorithms and
models, while ___________ focuses on using existing models
to analyze data. - ANSWER-Data science focuses on
developing new algorithms and models, while data analytics
focuses on using existing models to analyze data.


(data analytics or data science) involves using statistical and
quantitative methods to analyze data to extract insights and
solve problems? - ANSWER-data analytics

,(data analytics or data science) involves using machine
learning and statistical models to build predictive models and
make decisions based on data? - ANSWER-data science


__________ is more research-based, while ___________ is
more focused on the practical applications. - ANSWER-Data
science is more research-based, while data analytics is more
focused on the practical applications of data analytics.


a 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 - ANSWER-data analytics


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


variable - ANSWER-a container or storage location that holds
a value


True or false? Variables can be manipulated throughout the
data analysis process to achieve the necessary results -
ANSWER-TRUE - a variable is just a container or storage

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


What is the difference between exploratory and confirmatory
data analytics projects? - ANSWER-Exploratory projects
involve testing hypotheses and finding patterns in data, while
confirmatory projects involve verifying existing hypotheses.


When would it be appropriate to do an exploratory data
analytics project? - ANSWER-Exploratory data analytics
projects are typically used when little is known about the
data or when researchers look for patterns or trends that may
not have been previously identified.


What kind of project would include creating a dashboard to
visualize sales data and monitor inventory levels for a grocery
store chain? - ANSWER-A data analytics project.


Data analytics projects typically involve analyzing data to
identify trends and patterns and then using this information
to make data-driven decisions.


identify the five broad categories of data analytics projects -
ANSWER-Descriptive

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