Data Science Methodology Quiz

Data Science Methodology Quiz

12th Grade

49 Qs

quiz-placeholder

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Data Science Methodology Quiz

Data Science Methodology Quiz

Assessment

Quiz

Computers

12th Grade

Medium

Created by

Najma Nazar

Used 8+ times

FREE Resource

49 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the "Business Understanding" stage in Data Science Methodology?

To collect data for analysis

To define the problem and objectives by understanding customer needs

To build a predictive model

To deploy the solution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is another term for the "Business Understanding" stage?

Data Collection

Problem Scoping

Model Evaluation

Data Preparation

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which framework can be used to deeply understand the issue during the Business Understanding stage?

5W1H Problem Canvas

Decision Tree Algorithm

Linear Regression Model

K-Means Clustering

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the 5W1H Problem Canvas help with in the Business Understanding stage?

Data visualization

Understanding the problem through questions like Who, What, Where, When, Why, and How

Selecting the best machine learning algorithm

Evaluating model performance

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the activity about Mr. Pavan Sankar at the food festival, what was his main challenge?

Cooking dishes from different cuisines

Identifying cuisines of dishes due to lack of categorization

Finding a restaurant with affordable prices

Creating a menu for the festival

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to ask questions during the Business Understanding stage?

To select the programming language for the project

To clarify customer needs and define project objectives

To clean the dataset

To deploy the model

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a key activity in the Business Understanding stage?

Training a machine learning model

Engaging with stakeholders to identify requirements

Writing code for data collection

Visualizing data with charts

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