Indus Net Technologies Associate Data Analyst Interview Questions and Answers

Q1. Sql Based Questions on Join, CTE,Advance Functionc
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Q2. Use case study implementation of logics
Ans. 
Implementing logics in a use case study to analyze data and derive insights.
• Identify the problem statement and objectives of the study

• Collect relevant data and clean it for analysis

• Apply statistical and machine learning techniques to derive insights

• Interpret the results and communicate findings to stakeholders
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Python, data manipluation, ML, SQl

Q1. Rating compliment the process
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Normal project related case study.

Low- medium level questions

Q1. Proficiency in cloud technology
Ans. 
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
• Experience with cloud platforms like AWS, Azure, or Google Cloud

• Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage

• Understanding of cloud computing concepts like virtual machines, containers, and serverless computing

• Ability to work with big data technologies like Hadoop, Spa
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Sql and basis python

Business related case study

Q1. Previous Project discussion
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Basic aptitude question

Q1. Basic analysis and ML questions , more focused on approach instead of coding
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Q1. As like other HR rounds
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Quantitative Analysis , Reasoning and verbal

Q1. SQL , Python , Machine Learning (prefered)
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Q1. Basic HR questions asked available on internet
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Q1. Reverse a string in list
Ans. 
Reverse a string in a list of strings
• Iterate through each string in the list

• Use the built-in function to reverse each string

• Store the reversed strings in a new list
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Q2. Explain joins in sql
Ans. 
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
• Joins are used to retrieve data from multiple tables based on a related column

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column
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