Internshala Data Analyst Interview Questions and Answers

A general apti round

Data analysis assignment

Q1. Sql questions askes
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Q1. Product sense round
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Q1. Culture fit round
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Q1. Sql questions, project questions, Aptitiude and Python and ML based questions.
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Around sql/python and other da tools

Stats and probability with focus on puzzles

A general apti round

Data analysis assignment

Q1. Sql questions askes
Add your answer

Q1. Product sense round
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Q1. Culture fit round
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Q1. Sql questions, project questions, Aptitiude and Python and ML based questions.
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Q1. It is related to SQL, Python, and Excel
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Q2. Not Remember the interview questions exactly
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Q3. What is grouped by in SQL
Ans. 
In SQL, data is grouped by a specified column or expression using the GROUP BY clause.
• Data is grouped based on the values in the specified column or expression

• Aggregate functions like SUM, COUNT, AVG can be used with GROUP BY to perform calculations on each group

• GROUP BY is often used in conjunction with the SELECT statement

• Example: SELECT department, AVG(salary) FROM employees GROUP BY department
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Q4. List and dictionary differences
Ans. 
Lists are ordered collections of items, while dictionaries are unordered collections of key-value pairs.
• Lists are accessed by index, dictionaries are accessed by key

• Lists maintain the order of elements, dictionaries do not guarantee order

• Lists use square brackets [], dictionaries use curly braces {}

• Example: list - [1, 2, 3], dictionary - {'a': 1, 'b': 2}
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Q5. Lambda functions in python
Ans. 
Lambda functions are anonymous functions in Python that can have any number of arguments but only one expression.
• Lambda functions are defined using the lambda keyword.

• They are commonly used for small, one-time tasks.

• Lambda functions can take any number of arguments, but can only have one expression.

• Example: add = lambda x, y: x + y
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Q1. Questions related to past projects and related to SQL, Python and AWS.
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Q1. Case study like questions for Data Engineering
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