Mad Street Den UI/UX Designer Interview Questions and Answers

There was a data with some 6000 rows and we have to derive 5 useful insights from it

To know yourself like it was a kind of OPQ

Q1. Tjere was a questions on what is data analysis,how we do it,wep scrapper ,data crawling
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Q1. It was a discussion with CEO of company
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Q1. It was basic data analyst non technical quesions
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Q1. Salary Discussion
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Section 1. 10 questions aptitude
section 2. 10 oops questions based on c++
section 3. comprehension
section 4. 10 questions English grammar

One coding question. it's like two lines of question, understand the question and write the code using any programming language.

Q1. General technical questions
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Q1. General resume based questions.
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Database realted task

Q1. Oops concept ,kotlin related question
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Q1. What is your strength and weakness
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It was a simple case study with a regression problem

Q1. The interview was focused on basics of data analytics and python.
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Q2. What is the imp stw in data analytics?
Ans. 
The importance of data analytics lies in its ability to help organizations make informed decisions, identify trends, and improve overall performance.
• Data analytics helps organizations make data-driven decisions

• It allows businesses to identify trends and patterns in data

• Data analytics can improve operational efficiency and performance

• It enables organizations to gain insights and make predictions based on data

• Data analyt...read more
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Q3. What is rank and dense rank
Ans. 
Rank and dense rank are functions used in SQL to assign a rank to each row based on a specified column.
• Rank function assigns a unique rank to each distinct row based on the specified column.

• Dense rank function assigns a unique rank to each distinct row based on the specified column, but does not leave gaps between ranks.

• Example: If we have a table of students with their scores, using rank function will assign ranks lik...read more
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Q4. Advanced excel formulas were asked
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They will provide you with dataset and we need to find insights from that

Q1. Why do want to join as a data analyst
Ans. 
I am passionate about uncovering insights from data and using them to drive informed decision-making.
• I have a strong background in statistics and data analysis

• I enjoy working with large datasets and finding patterns within them

• I am excited about the opportunity to make a meaningful impact through data-driven decision-making

• I am proficient in data visualization tools like Tableau and Power BI
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Q1. Asked about the previous job experience and area of interest like frontend or backend
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Coding test was on reactjs and html

Q1. Asked about all the react concepts in detail
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Q1. Javascript basics were asked
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Q1. Describe your current project
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Q2. Why do you want to change?
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