Data Analytics Intern
10+ Data Analytics Intern Interview Questions and Answers
Q1. What are the different data types in Python?
Different data types in Python include integers, floats, strings, lists, tuples, dictionaries, and booleans.
Integers: whole numbers without decimals (e.g. 5, -10)
Floats: numbers with decimals (e.g. 3.14, -0.5)
Strings: sequences of characters enclosed in quotes (e.g. 'hello', '123')
Lists: ordered collections of items (e.g. [1, 'apple', True])
Tuples: ordered, immutable collections of items (e.g. (1, 'banana', False))
Dictionaries: unordered key-value pairs (e.g. {'key': 'value',...read more
Q2. What is Python and what are its key features?
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 execution.
It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.
Python has a large standard library with built-in modules for various tasks, making it versatile and efficient.
It is widely used in data analytics, machine learning, web development, and scient...read more
Data Analytics Intern Interview Questions and Answers for Freshers
Q3. Swap 2 adjacent elements of linked list.
To swap 2 adjacent elements of a linked list, update the pointers accordingly.
Create a temporary pointer to store the address of the next node of the first element
Update the next pointer of the first element to point to the node after the next node
Update the next pointer of the temporary pointer to point to the first element
Update the next pointer of the node before the first element to point to the temporary pointer
Q4. 1Q) what is balance sheet? 2Q) what is Net Profit & Net Loss 3Q) what are the Golden Principles of Accounting?
Balance sheet is a financial statement that shows a company's assets, liabilities, and shareholders' equity at a specific point in time.
Balance sheet provides a snapshot of a company's financial position.
It consists of three main components: assets, liabilities, and shareholders' equity.
Assets are what the company owns, liabilities are what it owes, and shareholders' equity is the difference between the two.
Net Profit is the amount by which revenues exceed expenses in a given...read more
Q5. What is PEP 8 and why is it important?
PEP 8 is a style guide for Python code that outlines best practices for writing clean and readable code.
PEP 8 stands for Python Enhancement Proposal 8.
It covers topics such as indentation, line length, imports, naming conventions, and more.
Following PEP 8 helps improve code consistency, readability, and maintainability.
For example, PEP 8 recommends using 4 spaces for indentation and limiting line length to 79 characters.
Q6. What is garbage collector in java?
Garbage collector in Java is a program that automatically manages memory by reclaiming unused memory.
Garbage collector is a part of Java Virtual Machine (JVM) responsible for automatic memory management.
It identifies and deletes objects that are no longer reachable or needed by the program.
Garbage collection helps prevent memory leaks and improves performance by freeing up memory for new objects.
Examples of garbage collectors in Java include Serial, Parallel, CMS, and G1.
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Q7. Difference between sql and non sql database?
SQL databases are relational databases that use structured query language, while NoSQL databases are non-relational and do not use SQL.
SQL databases are table-based and have a predefined schema, while NoSQL databases are document-based, key-value pairs, graph databases, or wide-column stores.
SQL databases are good for complex queries and transactions, while NoSQL databases are better for hierarchical data storage.
Examples of SQL databases include MySQL, Oracle, and PostgreSQL...read more
Q8. Write a query to find top best and worst feedback from the database
Query to find top best and worst feedback from the database
Use SQL query to retrieve feedback data from the database
Sort the feedback based on ratings to find the best and worst
Limit the results to show only the top best and worst feedback
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Q9. How do you think you can add value to business
I can add value to business by analyzing data to identify trends, make informed decisions, and optimize processes.
Utilizing data analytics tools to identify trends and patterns
Providing insights for informed decision-making
Optimizing processes for efficiency and cost savings
Developing predictive models for forecasting
Improving data quality and accuracy
Q10. How many types I receive payment
There are multiple types of payment methods that can be received.
Cash
Credit card
Debit card
Online payment
Bank transfer
Q11. What is graphical data?
Graphical data refers to data that is represented visually through graphs, charts, or other visualizations.
Graphical data helps in easily interpreting trends, patterns, and relationships within the data.
Common types of graphical data include bar graphs, pie charts, line graphs, and scatter plots.
It is often used in data analytics to communicate insights and findings effectively to stakeholders.
Graphical data can be created using tools like Microsoft Excel, Tableau, or Python ...read more
Q12. what is interpreted language?
Interpreted language is executed line by line at runtime, without the need for compilation.
Code is translated and executed on the fly
Errors are found during runtime
Examples: Python, JavaScript, Ruby
Q13. what is neural network?
Neural network is a type of machine learning algorithm inspired by the human brain's neural network structure.
Neural network consists of layers of interconnected nodes (neurons) that process information.
It can be used for tasks like image recognition, natural language processing, and predictive analytics.
Common types of neural networks include feedforward, convolutional, and recurrent neural networks.
Q14. define Data Science & analytics?.
Data Science is the field of study that uses scientific methods, algorithms, and systems to extract knowledge and insights from data.
Data Science involves collecting, analyzing, and interpreting large amounts of data to make informed decisions.
It combines statistics, machine learning, and computer science to uncover patterns and trends in data.
Data Analytics focuses on analyzing data to draw conclusions and make recommendations based on the findings.
It involves using tools li...read more
Q15. define perceptron?(Ann,Cnn and Rnn)
Perceptron is a type of artificial neuron used in machine learning for binary classification.
Perceptron is the simplest form of neural network.
It takes input values, applies weights, sums them up, and passes the result through an activation function.
It is used for binary classification tasks, where it predicts whether an input belongs to one class or another.
Examples include single-layer perceptrons and multi-layer perceptrons.
Q16. define Regression and classification?
Regression predicts continuous outcomes, while classification predicts categorical outcomes.
Regression is used to predict continuous values based on input features.
Classification is used to predict categories or classes based on input features.
Examples of regression include predicting house prices based on features like size and location.
Examples of classification include predicting whether an email is spam or not based on its content.
Q17. What is inheritance?
Inheritance is a concept in object-oriented programming where a class can inherit attributes and methods from another class.
Allows for code reusability and promotes a hierarchical structure
Derived class inherits properties and behaviors from a base class
Can have multiple levels of inheritance
Example: Class 'Dog' can inherit from class 'Animal' and inherit attributes like 'name' and methods like 'eat()'
Q18. What courses you persuing
I am currently pursuing courses in Data Science, Statistics, and Programming.
Data Science
Statistics
Programming
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