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WGU D491 Introduction to Analytics UPDATE ACTUAL EXAM ALL QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) 100% PASS SOLUTION /ALREADY GRADED A+ $17.19   Add to cart

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WGU D491 Introduction to Analytics UPDATE ACTUAL EXAM ALL QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) 100% PASS SOLUTION /ALREADY GRADED A+

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WGU D491 Introduction to Analytics UPDATE ACTUAL EXAM ALL QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) 100% PASS SOLUTION /ALREADY GRADED A+

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  • February 9, 2024
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  • WGU D491 Introduction to Analytics
  • WGU D491 Introduction to Analytics

1  review

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By: tonia1991tg • 8 months ago

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dennohz2000
Which question should the data analyst ask about the data regarding where it
is sourced from?



- Is the data backed up?

- Can the data be improved?

- Has the data been copied into multiple languages?

- When was the data collected? - answer>>When was the data collected?

What is data analytics?



- The process of analyzing data to extract insights

- The process of encrypting data to keep it secure

- The process of storing data in a secure location for future use

- The process of collecting data from various sources - answer>>The process
of analyzing data to extract insights



What is data science?



- The practice of using statistical methods to extract insights from data

- A field that involves creating data visualizations to provide insights

- The process of creating computer programs to automate tasks

,- The study of how computers interact with human language - answer>>The
practice of using statistical methods to extract insights from data



Which question should be asked to determine if a data set is biased?



- Is the data from a self-reported survey?

- Is the market research data too comprehensive?

- Is there too much data?

- Is the financial data objective? - answer>>Is the data from a self-reported
survey?



Which technique is the most appropriate for analyzing customer
demographics?



- Decision trees

- Neural network

- Clustering

- Linear regression - answer>>Clustering

What is the most appropriate analytics technique for predicting sales for the
next quarter?



- Bar chart

- Tree map

,- Heat map

- Regression analysis - answer>>Regression analysis



How is data science different from data analytics?



- Data science focuses more on tracking experimental data, and data analytics
is based on statistical methods and hypotheses.

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

- Data science focuses more on data visualization, while data analytics focuses
on data cleaning and preprocessing.

- Data science involves creating new algorithms, while data analytics uses
existing statistical methods. - answer>>Data science focuses on developing
new algorithms and models, while data analytics focuses on using existing
models to analyze data.



Which comparison describes the difference between data analytics and data
science?



- Data analytics focuses on descriptive analysis, while data science focuses on
prescriptive analysis.

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

- Data analytics focuses on statistics, and data science mainly focuses on
qualitative reasoning.

, - Data science involves analyzing data from structured sources, while data
analytics involves analyzing data from unstructured sources. - answer>>Data
analytics is the process of analyzing data to extract insights, while data
science involves building and testing models to make predictions.



Which type of data analytics project aims to determine why something
happened in the past?



- Diagnostic

- Descriptive

- Predictive

- Prescriptive - answer>>Descriptive



What are the different types of data analytics projects?Descriptive,
diagnostic, predictive, and prescriptive analytics



- Data warehousing, data mining, data visualization, and business intelligence

- Regression analysis, time series analysis, text analytics, and network analysis

- Data collection, data cleaning, data transformation, and data visualization

- Descriptive, diagnostic, predictive, and prescriptive analytics -
answer>>Descriptive, diagnostic, predictive, and prescriptive analytics



What is the difference between exploratory and confirmatory data analytics
projects?

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