PlaySimple Games Senior Business Analyst Interview Questions and Answers

It's easy to crack basic questions are there

Prepare Basic codes to clear the round

Q1. He asked some codes and syntaxes
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Q1. About projects and all but they rejected in hr round
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Q1. Advance level sql questions
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Q1. Intermediate and Advanced SQL Questions, for best, try leetcode sql practice.
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Basics of SQL was asked, having good foundation will really help in clearing this round

Q1. Sql concepts and scenarios
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Q1. Coalesce, SQL Order of Execution
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Q2. Given a table with fields(id, name, salary, managerId) find out the managers who have atleast 5 reportees under him/her.
Ans. 
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
• Write a SQL query to count number of reportees for each manager using GROUP BY clause

• Add HAVING clause to filter out managers with atleast 5 reportees

• Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
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Q3. How to manage large datasets in python
Ans. 
Use libraries like pandas and dask to efficiently manage large datasets in Python.
• Use pandas library for data manipulation and analysis.

• Use dask library for parallel computing and out-of-core processing.

• Optimize memory usage by loading data in chunks or using data types efficiently.

• Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
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Q4. Name few of the commonly used python libraries used by DA
Ans. 
Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
• Pandas - used for data manipulation and analysis

• NumPy - used for numerical computing and working with arrays

• Matplotlib - used for data visualization

• Scikit-learn - used for machine learning and data mining
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Q1. SQL questions, puzzle
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Q2. Cohort analysis
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Q3. Guesstimates questions were asked
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Q4. Project overview
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Q5. Tableau basicquestions
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