ExcelR Data Analyst Interview Questions and Answers for Experienced

Q1. CV related questions
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Q1. CV related questions
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Q1. What is your strength
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Q2. What is your weakness
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Q1. Delay in response
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Q2. Name was asked
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Q1. About work background
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Case study for understanding your analytical accumen

Q1. Why do you want to join?
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As is and to be diagram to be crated form scenario

Q1. About case study on the ups and downs
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Q2. About the points and missed and how to add them
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Q3. Different challenges while implementing this solutions
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Implementing solutions can face various challenges.
• Lack of resources

• Resistance to change

• Integration issues

• Data security concerns

• Training and adoption

• Costs and budget constraints
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Situation bsedd questions and needed to answer very specifically

Solve 500 Leetcode problems

Q1. Missing values outliers, over fitting underfitting
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Q1. Outliers missing values, overfitting underfitting
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Understanding outliers, missing values, overfitting, and underfitting in data science.
• Outliers are data points that significantly differ from other data points in a dataset.

• Missing values are data points that are not present in a dataset.

• Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.

• Underfitting occurs when a model is too simple to capture the underlying pattern in...read more
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Q1. C++ this pointer
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Q2. Python gil library questions asked
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