Must-Know Data               Analyst Interview  Questions for Success

10

Describe your experience with data analysis tools such as SQL, Python, R, Excel, Tableau or PBI.

1

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What do you understand by correlation and how is it different from causation?

2

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What steps should be followed to clean and process data?

3

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Can you explain the difference between supervised and unsupervised learning? Provide examples of each.

4

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How do you determine which parameters are significant in a regression model?

5

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What is the Central Limit Theorem, and why is it important in statistics?

6

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On what parameters do you evaluate a machine learning model?

7

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What's a data warehouse and a data lake and how is it different from databases?

8

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How do you forecast on time-series data?

9

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What's the difference between structured and unstructured data? Explain with examples.

10

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