Data Analytics - Course 2: "Module 1"

What is problem-solving in data analysis?

The process of identifying issues and applying data to find solutions.

Why is it important to understand problem types before analyzing data?

Because each problem requires a different approach, toolset, and method of interpretation.

What does making predictions involve?

Using historical and real-time data to forecast future outcomes.

What does categorizing things mean in data analysis?

Grouping data based on shared characteristics or features.

What is spotting something unusual in data?

Detecting outliers or anomalies that differ from the norm.

What is identifying themes in analysis?

Grouping categories into broader conceptual meanings for deeper insight.

What does discovering connections mean?

Finding shared challenges or relationships across different entities or systems.

How do data analysts find patterns?

By identifying recurring trends in historical data to predict future behavior.

What does the SMART framework stand for?

Specific, Measurable, Action-oriented, Relevant, and Time-bound.

What is a specific question?

A question that is simple, significant, and focused on a single topic.

What is a measurable question?

A question whose answers can be quantified and assessed.

What is an action-oriented question?

A question designed to prompt change or suggest a solution.

What is a relevant question?

A question that has significance to the problem being addressed.

What is a time-bound question?

A question that includes a specific time frame for analysis.

What is a leading question?

A question that suggests a particular answer and limits objectivity.

What is a closed-ended question?

A question that can be answered with "yes" or "no," offering limited insight.

What is a vague question?

A question that lacks context or clarity, making it hard to interpret.

What defines a fair question in data analysis?

A clear, unbiased question that avoids assumptions and is easy to understand.

Why is fairness important in question design?

It ensures reliable responses and avoids bias that could compromise insights.

What is the cloud in data analysis?

A place to store data online instead of on a local computer.

What is structured thinking?

Organizing information, identifying gaps, and evaluating options in a logical order.

What is the role of questions in data analysis?

They clarify goals, guide exploration, and drive meaningful insights.