Why is it important to consider "ethics" and "bias" when working on a data science capstone project?

Deontological theory of ethics is concerned with which of the following?
1. Duty ethics
2. Obligation ethics
3. Rule based ethics
4. Classical ethics

A

Both 1 and 2

B

Both 1 and 3

C

Both 1 and 4

D

1, 2 and 3

Which of the following type of data science question is missing in the figure?
Introduction to Data Science mcq question image

A

Correlative

B

Exploratory

C

Relative

D

None of the mentioned

In a data science capstone project, why is "data security" and "privacy" important, especially for sensitive data?

A

Add complexity to the project

B

Replace data exploration

C

Speed up the project

D

Protect against data breaches and misuse

Why is it important to establish "data pipelines" or "data integration" in a data science capstone project?

A

Simplify the project report

B

Conduct data exploration

C

Automate data collection and processing

D

Create more project documentation

Why is it important to document the project report in a data science capstone project?

A

To add complexity to the project

B

To impress the advisor

C

To avoid project presentation

D

To provide a clear project summary

What is the primary focus of "data ethics" in a data science capstone project?

A

Ethical use of data in the project

B

Visualizing data distributions

C

Model deployment

D

Data exploration

Data Products shown in the below figure is built using which programming language?
Introduction to Data Science mcq question image

A

S

B

Python

C

R

D

Java

If CT is the transition capacitance, which of the following are true? 1) in forward bias, CT dominates 2) in reverse bias, CT dominates 3) in forward bias, diffusion capacitance dominates 4) in reverse bias, diffusion capacitance dominates

A

1 only

B

2only

C

2 and 3

D

3 only

Why is it important to define clear success criteria for a data science capstone project?

A

To write a longer project report

B

To impress the mentor

C

To measure project's impact

D

To add complexity to the project

Why is it important to maintain a "version control system" for a data science capstone project?

A

Create more project documentation

B

Conduct data exploration

C

Simplify the project report

D

Track changes in project code

Why is it important to consider "ethics" and "bias" when working on a data science capstone project?

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