Varutra Consulting Data Analyst Interview Questions and Answers

Q1. How to transpose data set
Ans. 
Transposing a data set involves flipping rows and columns.
• Identify the data set to be transposed

• Create a new table with the columns and rows flipped

• Copy the data from the original table to the new table

• Transpose can be done using Excel, Python, R, SQL, etc.

• Example: Transposing a table of sales data to have products as rows and months as columns
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Simple assessment includes logical reasoning and general aptitude

Includes simple programs

Q1. Tell me about yourself
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Q2. Compare strings from 2 files and store distinct strings in a different file
Ans. 
The solution compares strings from 2 files and stores distinct strings in a different file.
• Read the contents of both files into separate arrays

• Loop through the first array and check if each string is present in the second array

• If not present, add the string to a new array

• Write the contents of the new array to a different file
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Q1. Structured query language
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Q2. Python and Java and R
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Q1. Mangerial Ronund
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Q2. Salary expectations
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It is very easy . Leetcode easy prob can help out

Basic cat type questions

Q1. Basics about python, some queries about SQL , something about machine learning
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Q1. What is your family background?
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Q2. Why are you looking for a change?
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Q3. Why should we hire you?
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Q4. Tell me about yourself.
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Q1. What is sql
Ans. 
SQL (Structured Query Language) is a standard programming language for managing and manipulating relational databases.
• SQL is used to query, insert, update, and delete data in databases. Example: SELECT * FROM users;

• It allows for data definition and manipulation through commands like CREATE, ALTER, and DROP. Example: CREATE TABLE orders (id INT, amount DECIMAL);

• SQL supports complex queries with JOIN operations to combin...read more
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Q2. Data warehouse in sql
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A data warehouse is a centralized repository for storing and analyzing large volumes of structured and unstructured data.
• Data warehouses integrate data from multiple sources, such as databases, CRM systems, and flat files.

• They support complex queries and data analysis, enabling businesses to make informed decisions.

• Data is organized in a star or snowflake schema, optimizing query performance.

• ETL (Extract, Transform, Lo...read more
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