Exercise Data Science

Exercise Data Science

University

10 Qs

quiz-placeholder

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Exercise Data Science

Exercise Data Science

Assessment

Quiz

Science

University

Practice Problem

Hard

Created by

Dwiweka Naratama

Used 1+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the initial activities in data science?

Model building and evaluation

Data Exploration and preparation

Statistical analysis

Machine learning implementation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is R used in data science?

Offers a wide range of libraries for data manipulation and visualization.

Easy to learn to do simple things.

Provides powerful machine learning algorithms out of the box.

Allows seamless integration with big data technologies.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What stages are involved in the data science cycle?

Collect, Analyze, Interpret

Visualize, Predict, Evaluate

Transform, Visualize, Model

Clean, Store, Analyze

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is qualitative data?

Data measured in numerical form

Data that can be quantified and analyzed statistically

Descriptive information that cannot be quantified, such as opinions or preferences

Data collected through structured surveys and experiments

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In quantitative data analysis, what are examples of ordinal data?

Temperature in degrees Celsius

Height in centimeters

Scores on a Likert scale

Number of cars in a parking lot

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Based on the scenario where Alex uses data from the internet, what classification of data source does Alex fall under?

Primary

Secondary

Tertiary

Quaternary

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the characteristics of big data, what does velocity refer to?

Volume of data generated

Variety of data types

Veracity of data accuracy

Speed of generating data

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