Student Life Data Analyst Interview Questions and Answers

Q1. What is List comprehension? Print Fibonacci series in python.
Ans. 
List comprehension is a concise way to create lists in Python. Fibonacci series can be printed using list comprehension.
• List comprehension is a compact way to create lists in Python by iterating over an iterable object.

• Fibonacci series can be generated using list comprehension by defining the series logic within the comprehension.

• Example: fibonacci = [0, 1] + [fibonacci[i-1] + fibonacci[i-2] for i in range(2, 10)]
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Q1. You have two table. Employee and salary. Join the table and fetch the 3rd highest salary
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Customer segmentation on Sales Data

Q1. Psychological questions
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Q1. What's your experience?
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Q2. Don't you have Data Science experience?
Ans. 
No, I don't have direct Data Science experience.
• However, I have worked with data extensively in my previous roles as a Data Analyst.

• I have experience in data cleaning, data visualization, and statistical analysis.

• I am also familiar with programming languages such as Python and R, which are commonly used in Data Science.

• I am willing to learn and expand my skills in Data Science if given the opportunity.
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Question was moderate.based on logical reasoning and math.

Coding test question based on sql and python.

Average question where asked

Normal sql based assignment was there

Q1. Normal question where asked to me
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1 hour 100 question mcq

Q1. Introduce your self
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Q2. Brief on data structure
Ans. 
Data structure refers to the way data is organized and stored in a computer system.
• Data structure determines how data can be accessed, modified, and processed.

• Examples include arrays, linked lists, stacks, queues, trees, and graphs.
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Q1. Typing and speed
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Q1. HOW to sell pen
Ans. 
To sell a pen, highlight its features, demonstrate its quality, create a need for it, and offer a competitive price.
• Highlight the unique features of the pen, such as smooth writing, ergonomic design, or special ink technology.

• Demonstrate the quality of the pen by allowing the customer to test it out or showing testimonials from satisfied customers.

• Create a need for the pen by explaining how it can improve the customer'...read more
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Q2. How to do loan
Ans. 
To apply for a loan, one must meet the eligibility criteria, submit required documents, and agree to the terms and conditions.
• Check eligibility criteria such as credit score, income, and employment status

• Gather necessary documents like ID proof, address proof, income proof

• Fill out the loan application form accurately

• Agree to the terms and conditions set by the lender

• Wait for approval or rejection of the loan applicatio
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Q1. Define python and use
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for data analysis due to its extensive libraries like Pandas and NumPy.

• It is used for data cleaning, manipulation, visualization, and statistical analysis.

• Python can be used to create machine learning models for predictive analytics.

• Python scripts can automate repetitive tasks in data analysis workflows.
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Q2. Define sql an use
Ans. 
SQL is a programming language used for managing and manipulating relational databases.
• SQL stands for Structured Query Language

• Used to retrieve, insert, update, and delete data in databases

• Commonly used commands include SELECT, INSERT, UPDATE, DELETE

• Can be used to create tables, views, and stored procedures
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Q3. Define how to extract data
Ans. 
Extracting data involves retrieving information from various sources and transforming it into a usable format.
• Identify the sources of data such as databases, APIs, files, or websites

• Use tools like SQL queries, Python scripts, or data extraction software to retrieve the data

• Clean and transform the data to remove inconsistencies and prepare it for analysis

• Load the extracted data into a data warehouse or analytical tool f
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VBA,MS EXCEL AUTOMATION

Q1. Excel, PowerPoint, Google Sheets
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Q2. Dynamic Chart, Offsetting, Look-up, Conditional formatting
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Q1. Spoke directly to AVP.
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Q2. Asked related to previous job roles and responsibilities. Future Scope.
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