Data Science Multiple Choice Questions (MCQ) Online Test #15

Data Science MCQ #141:

Which tool is best suited for statistical analysis and modeling in R?

ggplot2

dplyr

caret

tidyr

knitr

About Data Science Multiple Choice Question (MCQ) #141:
This ICT Multiple Choice Question (ICT MCQ) #141 focuses on Data Science within the "Advanced ICT MCQ" category. This question determines the tool best suited for statistical analysis and modeling in R.

Data Science MCQ #142:

What is a key characteristic of supervised learning algorithms?

They rely on labeled data for training

They use unlabeled data for training

They perform clustering of data

They are used for anomaly detection

They do not require data preprocessing

About Data Science Multiple Choice Question (MCQ) #142:
This ICT Multiple Choice Question (ICT MCQ) #142 focuses on Data Science within the "Advanced ICT MCQ" category. This question describes a key characteristic of supervised learning algorithms.

Data Science MCQ #143:

In the context of model evaluation, what does the term "bias-variance tradeoff" refer to?

The tradeoff between the size of the training data and model accuracy

The tradeoff between model bias and variance in prediction errors

The balance between model complexity and the amount of training data

The balance between precision and recall

The tradeoff between training time and model performance

About Data Science Multiple Choice Question (MCQ) #143:
This ICT Multiple Choice Question (ICT MCQ) #143 focuses on Data Science within the "Advanced ICT MCQ" category. This question explains what the term "bias-variance tradeoff" refers to in the context of model evaluation.

Data Science MCQ #144:

In Principal Component Analysis (PCA), what is the significance of the principal components?

They are the original features of the data

They represent the clustering of the data

They are the directions in which the data varies the most

They are the decision boundaries used in classification

They are used to calculate distances between data points

About Data Science Multiple Choice Question (MCQ) #144:
This ICT Multiple Choice Question (ICT MCQ) #144 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses the significance of the principal components in Principal Component Analysis (PC1).

Data Science MCQ #145:

Which data science technique is most commonly used to handle large volumes of healthcare data for trend analysis?

Regression Analysis

Data Encryption

Data Aggregation

Predictive Modeling

Clustering

About Data Science Multiple Choice Question (MCQ) #145:
This ICT Multiple Choice Question (ICT MCQ) #145 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a data science technique commonly used to handle large volumes of healthcare data for trend analysis.

Data Science MCQ #146:

How does data science help in predicting customer churn in e-commerce?

By managing inventory levels

By simplifying payment processing

By analyzing customer engagement and transaction patterns to identify at-risk customers and predict churn

By handling order fulfillment

By managing customer service interactions

About Data Science Multiple Choice Question (MCQ) #146:
This ICT Multiple Choice Question (ICT MCQ) #146 focuses on Data Science within the "Advanced ICT MCQ" category. This question explores how data science helps in predicting customer churn in e-commerce.

Data Science MCQ #147:

How can data science enhance fraud detection in financial transactions?

By increasing manual checks

By reducing transaction volumes

By analyzing transaction patterns and anomalies using machine learning models to identify fraudulent activities

By simplifying transaction processes

By managing user accounts

About Data Science Multiple Choice Question (MCQ) #147:
This ICT Multiple Choice Question (ICT MCQ) #147 focuses on Data Science within the "Advanced ICT MCQ" category. This question addresses how data science can enhance fraud detection in financial transactions.

Data Science MCQ #148:

What is a typical task for a data analyst?

Analyzing data sets to extract meaningful insights and create reports for decision-making

Developing complex algorithms

Designing machine learning models

Managing database systems

Configuring network infrastructure

About Data Science Multiple Choice Question (MCQ) #148:
This ICT Multiple Choice Question (ICT MCQ) #148 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a typical task for a data analyst.

Data Science MCQ #149:

What is a key advantage of using data science in decision support systems within the business sector?

Increased manual reporting

Enhanced ability to leverage data-driven insights for strategic planning and operational efficiency

Reduced need for data analysis

Simplified hardware requirements

Improved data storage

About Data Science Multiple Choice Question (MCQ) #149:
This ICT Multiple Choice Question (ICT MCQ) #149 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies a key advantage of using data science in decision support systems within the business sector.

Data Science MCQ #150:

What is an emerging application of data science in the educational sector?

Increased physical resources

Use of predictive analytics to enhance student learning experiences and outcomes

Manual data grading

Improved classroom design

Enhanced physical textbooks

About Data Science Multiple Choice Question (MCQ) #150:
This ICT Multiple Choice Question (ICT MCQ) #150 focuses on Data Science within the "Advanced ICT MCQ" category. This question identifies an emerging application of data science in the educational sector.

This page was last modified on Dec 30, 2024 by ICT MCQ Hub.

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Data Science Multiple Choice Questions (MCQ) Online Test #15

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