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D491 WGU INTRODUCTION TO ANALYTICS OA EXAM QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) ALREADY GRADED A+ $23.49   Add to cart

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D491 WGU INTRODUCTION TO ANALYTICS OA EXAM QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) ALREADY GRADED A+

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D491 WGU INTRODUCTION TO ANALYTICS OA EXAM QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) ALREADY GRADED A+D491 WGU INTRODUCTION TO ANALYTICS OA EXAM QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) ALREADY GRADED A+D491 WGU INTRODUCTION TO ANALYTICS OA EXAM QUESTIONS AND CORREC...

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  • August 5, 2024
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  • D491 WGU INTRODUCTION TO ANALYTICS
  • D491 WGU INTRODUCTION TO ANALYTICS
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D491 WGU INTRODUCTION TO ANALYTICS OA
EXAM QUESTIONS AND CORRECT DETAILED
ANSWERS (VERIFIED ANSWERS) ALREADY
GRADED A+

Data Transformation -CORRECT ANSWER ✔️Data mapping:
converting data from one format to another.
Data deduplication: eliminating repeated or redundant data.
Derived variables: creating new variables from existing ones.
Data sorting or ordering: arranging data in a specific sequence.


Data Transformation occurs in the ______ _____________
phase, the role this applies to is the _____ A___ -CORRECT
ANSWER ✔️Preparation phase, Data Analyst


____________ is great at combining unstructured data feeds from
multiple sources. -CORRECT ANSWER ✔️Hadoop


Examples of when to use _____ : stream processing, fraud
detection, and prevention, content management, risk
management. -CORRECT ANSWER ✔️Hadoop

,Set up sandbox, extract and transform data, condition data and
exploring visually occurs in the ______ ____________ phase -
CORRECT ANSWER ✔️Data Preparation


When you convert a Microsoft Word file to a PDF, for example,
you are ________data -CORRECT ANSWER ✔️transforming


Running a virtual machine on Linux operating system on Windows
is an example of ---------- -CORRECT ANSWER ✔️sandboxing


Some key features of an Analytical Sandbox may include tools
and features for c---------- and s---ing work with colleagues.
Flexibility to allow analysts to try out different analytical
approaches and techniques. Clear documentation and support
resources to help analysts get up to speed quickly. -CORRECT
ANSWER ✔️collaboration, sharing


Why is it important to collect data in a certain time frame? -
CORRECT ANSWER ✔️Result: more precise findings than
working with an open-ended timeframe.

,___ testing works by randomly showing two versions of the same
asset (ad, website, pop-up, offer, etc.) to different users -
CORRECT ANSWER ✔️A/B


What does it mean for a dependent variable to be binary?
(this is always applied to logistic regression) -CORRECT
ANSWER ✔️A binary variable is a categorical variable that can
only take one of two values, usually represented as a Boolean —
True or False — or an integer variable — 0 or 1, yes or no, sick or
not sick, obese or underweight, etc., depending on the
independent variable.


______ Analysis when you're looking to segment or categorize a
dataset into groups based on similarities, but aren't sure what
those groups should be. -CORRECT ANSWER ✔️Cluster
Analysis


Preprocessing (of data) -CORRECT ANSWER ✔️the process of
transforming raw data into an understandable format


Bounce Rate -CORRECT ANSWER ✔️the percentage of visitors
to a particular website who navigate away from the site after
viewing only one page.

, Logistic Regression -CORRECT ANSWER ✔️A statistical
analysis which determines an individual's risk of the outcome as a
function of a risk factor. The outcome of interest has two
categories (yes or no, obese or not obese, at risk of cancer or not
at risk of cancer, happens or does not happen, etc.).


K-means clustering -CORRECT ANSWER ✔️Informally, goal is
to find groups of points that are close to each other but far from
points in other groups.
• Each cluster is defined entirely and only by its centre, or mean
value µk


Random Forest -CORRECT ANSWER ✔️An algorithm used for
regression or classification that uses a collection of tree data
structures trees "vote" on the best model.


Examples of when to use Random Forest -CORRECT ANSWER
✔️In HC: to identify the correct combination of components in
medicine and to analyze a patient's medical history to identify
diseases (for example using symptoms to predict whether a
person's symptoms are more closely tied to malaria or a simple
fever, another example can be a cold or a sinus infection).

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