CollegePur Data Scientist Interview Questions and Answers

Q1. What prompted you to choose this field?
Ans. 
My passion for data-driven decision-making and problem-solving led me to pursue a career as a Data Analyst.
• I have always been fascinated by numbers and how they can tell a story, like analyzing sales data to identify trends.

• During my college years, I worked on a project that involved cleaning and analyzing a large dataset, which sparked my interest in data analysis.

• I enjoy using tools like Excel and SQL to manipulate d...read more
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Q2. What is the method for removing duplicates in Excel?
Ans. 
You can remove duplicates in Excel using the 'Remove Duplicates' feature in the Data tab.
• Select the range of cells or the entire table where you want to remove duplicates.

• Go to the 'Data' tab on the Ribbon.

• Click on 'Remove Duplicates'.

• In the dialog box, choose the columns to check for duplicates.

• Click 'OK' to remove duplicates; Excel will inform you how many duplicates were removed.
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Q1. Technical Questions on Robotics and Coding - specially being a mechanical engineer - I was questioned a lot on various motors / gears / using different chassis models - coding experience on Java integrated...read more
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Q2. CAD design - exposure to Autodesk, Solidworks were asked in great depth
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Q1. Advanced Excel tests
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Q2. Critical Level thinking
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Q1. Quickly Tell me about yourself?
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Q2. Which tools you have used?
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Q1. Elevator pitch. About the past exp .....
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Few basic IQ questions/ Gmat style test

Array, String , hashamp,
3 coding question,
level east leetcoode

Q1. Introduction, Study, Background
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Q2. What if we not hire u,
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Q1. What is ds, ml, ai
Ans. 
DS stands for Data Science, ML stands for Machine Learning, and AI stands for Artificial Intelligence.
• Data Science (DS) involves extracting insights and knowledge from data.

• Machine Learning (ML) is a subset of AI that allows systems to learn and improve from experience.

• Artificial Intelligence (AI) is the simulation of human intelligence processes by machines.

• Example: Using data science to analyze customer behavior, imp...read more
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Q2. Wht is natural language processing
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Mostly quantitative and qualitative reasoning questions

Graph,trees,arrays and strings