Asking Questions & Finding and Getting Data

The most important thing in data science is the _________ , and then followed by __________.

• Data, question

• Problem, data

• Goal, analysis

• Question, data

Characteristics of a good question are all these, except _____________ .

• specific

• has already been answered

• plausible

• has to be interest to your audience

Which ones are the good or sharp questions?

• How's the data science class progressing?

• What will the size of WQD7001 class be next semester?

• What's going to happen after semester break?

• Which mode of class are we having after semester break?

Which of these follow the right sequence in the data processing pipeline?

• ask question, get data, find data, clean data, analyze data

• ask question, find data, get data, clean data, analyze data

• ask question, get data, analyze data, present results

• find data, clean data, analyze data, ask question

Country of origin, gender and profile picture of a student is considered to be ___________ data.

• hard data

• qualitative data

• quantitative data

• private data

In data science, most data analysis involve ______ and ______.

• descriptive and explorative

• causal and mechanistic

• statistical inference and machine learning prediction

• exploratory and inferential

This type of analysis plays a significant role in strategic planning.

• Descriptive

• Exploratory

• Inferential

• Predictive

Annual reports provide an overview of firms past performance. Which analysis is dominant in these reports?

• Descriptive

• Exploratory

• Inferential

• Predictive

Which analysis is prevailing in a crime scene investigation?

• Descriptive

• Exploratory

• Inferential

• Predictive

Key findings of a research that is published in a journal article largely based on __________ analysis.

• Descriptive

• Exploratory

• Inferential

• Predictive