Namekart Data Analyst Interview Questions and Answers

Q1. How do you gain experience in data analysis?
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Q2. What are your thoughts on the matter?
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Q3. What is algorithm
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Q1. What is a data structure?
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Q2. What are the different types of data structures available?
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Q1. I have finished Btech in Cse AI&ML taken datascience course looking for job
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NLP is my favorite subject. Is relatated medical and sign language. I have done reseach with mechien learning and AI TOOLS used for problem solving approach.

A group discussion was conducted on data-based management regarding Mr. Adani's food industry products in the state of Gujarat and their exports to other countries, utilizing data analytics.

Q1. Interviewer asked me basic SQL questions
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Q2. In the second technical round he asked me advanced SQL topics (Windows Functions, Joins & Subqueries)
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In the second technical round interview asked me about advanced sql topics, theory questions and two coding questions in joins and window functions.

Ask for a general question what will you first look at if people are doing add to card but not buying or make payment.

Q1. About previous experience situation based questions excel problem solving
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Q2. Tell me about yourself difference between data quality and data validity
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Q1. Projects Worked
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I have worked on various projects involving data analysis, visualization, and interpretation.
• Developed predictive models using machine learning algorithms

• Performed data cleaning and preprocessing to ensure accuracy

• Created interactive dashboards for stakeholders to easily understand insights
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Q2. SQL functions used in the projects
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Common SQL functions used in projects include COUNT, SUM, AVG, MAX, MIN, and GROUP BY.
• COUNT: Used to count the number of rows in a table.

• SUM: Used to calculate the sum of a column.

• AVG: Used to calculate the average value of a column.

• MAX: Used to find the maximum value in a column.

• MIN: Used to find the minimum value in a column.

• GROUP BY: Used to group rows that have the same values into summary rows.
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Q3. Machine learning alogriths
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Q1. Tell me about yourself
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Q1. Basic to Advanced level of SQL
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Q2. Discussed 1 -2 Business Cases studies
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