1. Question 1

Why is proficiency in Statistics important for a Data Analyst?

• ❌ For creating queries to extract required data

• ❌ For acquiring data from multiple sources

• ❌ For creating project documentation

• ✅ For identifying patterns and correlations in data

Explanation:
Statistics helps analysts understand relationships, trends, and patterns in data — a core part of analytical work.

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2. Question 2

Which is a soft skill required for a successful Data Analyst?

• ❌ Integrate data coming from multiple sources

• ❌ Filter, clean, and standardize data

• ✅ Work collaboratively with cross-functional teams

• ❌ Prepare reports and dashboards

Explanation:
Soft skills involve communication, teamwork, and collaboration — especially with cross-functional teams.

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3. Question 3

Which data analyst functional skill helps research, interpret data, theorize, and make forecasts?

• ❌ Problem-solving skills

• ❌ Proficiency in Statistics

• ❌ Probing skills

• ✅ Analytical skills

Explanation:
Analytical skills allow you to interpret information, spot relationships, make predictions, and generate insights.

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4. Question 4

In “A day in the life of a Data Analyst,” what did Sivaram Jaladi say forms a large part of the job?

• ❌ Creating a report

• ❌ Interacting with stakeholders

• ✅ Cleaning and preparing data

• ❌ Generating hypotheses

Explanation:
He highlights that data cleaning and preparation consume a big portion of a data analyst’s time.

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5. Question 5

Which data points were useful in analyzing the use case? (Select all that apply)

• ❌ Employment history of complainants

• ✅ Age and education details of complainants

• ❌ Average billing amount of complainants

• ❌ Serial number of the meters

Explanation:
The case used age and education level as relevant demographic variables for analysis.

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🧾 Summary Table

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