BSCS 4-2 - Quiz # 1 - Elective 3 (Intro to Data Science)

BSCS 4-2 - Quiz # 1 - Elective 3 (Intro to Data Science)

University

31 Qs

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BSCS 4-2 - Quiz # 1 - Elective 3 (Intro to Data Science)

BSCS 4-2 - Quiz # 1 - Elective 3 (Intro to Data Science)

Assessment

Quiz

Computers

University

Hard

Created by

Montaigne Molejon

Used 2+ times

FREE Resource

31 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is not part of the data flow in supporting decision making?

Data Question

Data Preparation

Data Decision

Business Analysis

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes the principal goal of data science?

To collect and archive exhaustive data sets from various source systems for corporate record keeping uses

To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains

To collect and prepare data for use as part of analytics applications

None of the mentioned

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following are an example of Continuous Quantitative Data?

Time and Height

Observations and Time

Time and Errors

Observations and Time

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data Science is related to the following statements below, except:

Statistics

Machine Learning

Cybersecurity

Data Mining

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the data science process?

Collecting data and preparing it for analysis

Learn and optimize data

Experimenting with and tuning different analytical models

Defining an analytical hypothesis that could provide business value

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following programming languages are most widely used by data scientists?

C and C++

Python, R and SQL

Java and JavaScript

PASCAL and COBOL

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following statements are correct why do we need to prepare data?

Because data might be invalid

Because data might need to be transformed

Because data might have outliers or bias

All of the above

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