Mastering Data Analytics Concepts

Mastering Data Analytics Concepts

University

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30 Qs

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Mastering Data Analytics Concepts

Mastering Data Analytics Concepts

Assessment

Quiz

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Engineering

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University

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Practice Problem

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Easy

Created by

Jalpesh Vasa

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30 questions

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1.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the primary purpose of data cleaning?

The primary purpose of data cleaning is to improve data quality.

To simplify data analysis

To increase data storage capacity

To enhance data visualization

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which technique is commonly used to handle missing values in a dataset?

Substitution

Deletion

Imputation

Normalization

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What does EDA stand for in data analysis?

Effective Data Analysis

Exploratory Data Analysis

Explanatory Data Application

Enhanced Data Assessment

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which library in Python is primarily used for data manipulation?

NumPy

Matplotlib

SciPy

Pandas

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the function of the 'dropna()' method in Pandas?

The 'dropna()' method filters out duplicate values from a DataFrame or Series.

The 'dropna()' method adds missing values to a DataFrame or Series.

The 'dropna()' method removes missing values from a DataFrame or Series.

The 'dropna()' method sorts the values in a DataFrame or Series.

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the significance of outlier detection in data cleaning?

Outlier detection is only relevant for large datasets.

Outlier detection reduces the need for data analysis.

Outlier detection improves data quality and accuracy in analysis.

Outlier detection is primarily used for data visualization.

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which visualization tool is known for its interactive capabilities?

Tableau

Power BI

Google Data Studio

Excel Charts

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