Analyst Intern

10+ Analyst Intern Interview Questions and Answers

Updated 14 Aug 2024

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Q1. What is the difference between Bagging and boosting ?

Ans.

Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.

  • Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

  • Boosting involves training multiple models sequentially, where each subsequent model corrects the errors made by the previous ones. Examples inc...read more

Q2. Estimate the number of credit cards in India?

Ans.

The number of credit cards in India can be estimated based on population, income levels, banking penetration, and consumer spending habits.

  • Estimate based on population size and percentage of population with access to banking services

  • Consider income levels and consumer spending habits to gauge demand for credit cards

  • Look at the number of active credit card users in India and extrapolate to estimate total number of credit cards

  • Take into account the growth rate of credit card us...read more

Analyst Intern Interview Questions and Answers for Freshers

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Q3. Explain your project a bot deeper?

Ans.

My project is a chatbot that assists users in booking flights and hotels.

  • The chatbot uses natural language processing to understand user requests

  • It integrates with travel APIs to provide real-time information on flights and hotels

  • Users can make bookings directly through the chatbot interface

  • The chatbot also provides recommendations based on user preferences and past bookings

Q4. Why we use in operator?

Ans.

The in operator is used to check if a value exists in a sequence or collection.

  • The in operator returns a boolean value (True or False).

  • It can be used with strings, lists, tuples, and dictionaries.

  • Example: 'a' in 'apple' will return True.

  • Example: 3 in [1, 2, 3, 4] will return True.

  • Example: 'cat' not in {'dog': 1, 'cat': 2} will return False.

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Q5. What does Analyst do?

Ans.

Analysts gather, interpret, and present data to help organizations make informed decisions.

  • Analyze data to identify trends and patterns

  • Create reports and presentations to communicate findings

  • Provide recommendations based on data analysis

  • Use tools like Excel, SQL, and Tableau for data analysis

  • Work closely with stakeholders to understand business needs

Q6. Built in function in python

Ans.

Python has many built-in functions that can be used without importing any module.

  • Built-in functions are pre-defined functions in Python.

  • They are always available and can be used directly in the code.

  • Examples include print(), len(), range(), type(), etc.

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Q7. what is collection s

Ans.

Collections are groups of objects or data structures that are stored together.

  • Collections can be used to store and manipulate multiple objects or data elements.

  • Examples of collections include arrays, lists, sets, and maps.

  • Collections provide methods for adding, removing, and accessing elements within the group.

Q8. What is mean by oops

Ans.

OOPs stands for Object-Oriented Programming. It is a programming paradigm based on the concept of objects, which can contain data and code.

  • OOPs focuses on creating objects that interact with each other to solve problems

  • It involves concepts like classes, objects, inheritance, polymorphism, and encapsulation

  • Example: In a banking system, you can have classes like Account, Customer, and Transaction, each with their own properties and methods

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Q9. Keywords in python

Ans.

Keywords are reserved words in Python that have a specific meaning and cannot be used as variable names.

  • Keywords are used to define the syntax and structure of the language.

  • Examples of keywords include 'if', 'else', 'for', 'while', 'def', 'class', 'import', 'try', 'except', 'finally', 'and', 'or', 'not', 'in', 'is', 'None', 'True', and 'False'.

  • Using a keyword as a variable name will result in a syntax error.

  • Keywords are case sensitive and must be written in lowercase.

Q10. Literals in python

Ans.

Literals are fixed values in Python code, such as numbers, strings, and booleans.

  • Literals are used to represent data in a program.

  • Numeric literals can be integers, floats, or complex numbers.

  • String literals are enclosed in quotes, either single or double.

  • Boolean literals are either True or False.

  • Examples: 42 is an integer literal, 'hello' is a string literal, True is a boolean literal.

Q11. Reverse of string

Ans.

Reverse of string

  • Use a loop to iterate through the string and append each character to a new string in reverse order

  • Alternatively, use the built-in reverse() method for strings in some programming languages

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