NOON.COM Data Analyst Intern Interview Questions and Answers for Freshers

As I had applied for analyst role, I was asked questions from SQL, Excel and Python.

Q1. What do you understand about the company?
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Q2. Expectations from the company for the role
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Q1. SQL base Question
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Q2. About your projects
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Finding error in sql query

Questions from arrays and strings and some aptitude questions

Q1. How to merge 2 csv files
Ans. 
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
• Open both CSV files in a software like Microsoft Excel.

• Copy the data from one CSV file and paste it into the other CSV file.

• Save the merged CSV file with a new name.

• Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
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Q2. Basic questions on arrays
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Q1. 3 reasons why u choose this company
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I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
• Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

• Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

• Company culture - I value a positive work environment and the...read more
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Q1. Questions on python
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Quant, LR, puzzles, cat based level 2 questions

Q1. Difference between tuple nd list
Ans. 
Tuple is immutable and ordered, while list is mutable and ordered in Python.
• Tuple is created using parentheses () while list is created using square brackets []

• Tuple elements cannot be changed once assigned, while list elements can be modified

• Tuple is faster than list for iteration and accessing elements

• Example: tuple = (1, 2, 3) and list = [1, 2, 3]
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Q2. How will you cut a cake into 8 equal pieces by 3 cuts
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Q1. Walk me through ur cv
Ans. 
I have a strong background in data analysis with experience in various industries.
• Bachelor's degree in Statistics with a focus on data analysis

• Proficient in SQL, Python, and data visualization tools like Tableau

• Experience working with large datasets and conducting statistical analysis

• Completed internships at XYZ Company and ABC Organization

• Presented findings at industry conferences
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Q2. What have learnt from this experience?
Ans. 
I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.
• Developed strong analytical skills through hands-on experience with various data analysis tools and techniques

• Improved ability to identify trends, patterns, and outliers in data sets

• Enhanced communication skills by presenting findings and recommendations to stakeholders

• Learned to collaborate with team memb
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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Number sires, clock, logic, arithmetic, geometry

Code test basic, ans the basic knowledge, write code

Q1. What is python?
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

• It emphasizes code readability and uses indentation to define code blocks.

• Python has a large standard library and a vibrant community of developers.

• Example: print('Hello, World!')

• Example: import pandas as pd
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Q2. What is python used for?
Ans. 
Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.
• Data analysis and visualization

• Web development (Django, Flask)

• Artificial intelligence and machine learning (TensorFlow, PyTorch)

• Automation and scripting

• Scientific computing (NumPy, SciPy)
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Q3. What type of language is python?
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is an interpreted language, meaning it does not need to be compiled before running.

• It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

• Python has a large standard library and a thriving community, making it versatile and widely used.

• Example: Python is used for web develop...read more
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Q4. What is oops in python?
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Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.
• OOP allows for the organization of code into reusable components called classes.

• Classes can have attributes (variables) and methods (functions) associated with them.

• In Python, everything is an object, and classes can be defined using the 'class' keyword.

• Encapsulation, inheritance, and polymorph
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Q5. What is array in python?
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An array in Python is a data structure that stores a collection of elements of the same type.
• Arrays can store elements such as integers, floats, or strings.

• Arrays are indexed starting from 0, with elements accessed using their index.

• Example: arr = ['apple', 'banana', 'cherry']
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