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Different question were asked on sql python java
posted on 30 Apr 2023
It's easy to crack basic questions are there
Prepare Basic codes to clear the round
posted on 5 Feb 2024
I applied via LinkedIn and was interviewed in Jan 2024. There was 1 interview round.
posted on 20 May 2024
I applied via Referral and was interviewed in Nov 2023. There was 1 interview round.
posted on 21 May 2024
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
Basics of SQL was asked, having good foundation will really help in clearing this round
posted on 6 Jun 2024
posted on 17 Dec 2024
I applied via Instahyre and was interviewed in Nov 2024. There was 1 interview round.
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
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.
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
posted on 13 Jun 2022
I applied via Recruitment Consulltant and was interviewed in May 2022. There were 3 interview rounds.
posted on 25 Oct 2023
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