20+ Data Analytics Intern Interview Questions and Answers

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

Merge sort has a worst-case time complexity of O(n log n), making it efficient for large datasets.

• Merge sort divides the array into halves recursively until each subarray has one element.

• It then merges the subarrays back together in sorted order.

• The division of the array takes log n time, and merging takes linear time, resulting in O(n log n).

• Example: Sorting an array of 8 elements involves 3 levels of division (log2(8) = 3) and linear merging at each level.

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

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

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

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.

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.

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

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

Data analytics can be categorized into four main types: descriptive, diagnostic, predictive, and prescriptive analytics.

• Descriptive Analytics: Summarizes historical data to understand trends (e.g., sales reports).

• Diagnostic Analytics: Investigates past performance to determine causes (e.g., analyzing why sales dropped).

• Predictive Analytics: Uses statistical models to forecast future outcomes (e.g., predicting customer behavior).

• Prescriptive Analytics: Recommends actions based...read more

There are multiple types of payment methods that can be received.

• Cash

• Credit card

• Debit card

• Online payment

• Bank transfer

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

I analyzed patient data to identify trends in treatment outcomes for a healthcare provider, improving patient care strategies.

• Collected and cleaned data from electronic health records (EHR) of over 1,000 patients.

• Utilized Python and SQL for data manipulation and analysis.

• Created visualizations using Tableau to present findings to stakeholders.

• Identified key trends, such as the effectiveness of specific treatments on recovery times.

• Collaborated with healthcare professionals to...read more

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.

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

I expect a salary that reflects my skills, the industry standard, and the value I can bring to the team.

• Research industry standards: For example, internships in data analytics typically range from $15 to $30 per hour.

• Consider location: Salaries may vary based on the cost of living in different cities.

• Highlight skills: If I have specific skills like Python or SQL, I might expect a higher salary.

• Discuss learning opportunities: I'm also interested in the experience and mentorshi...read more

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

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.

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.

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()'

I am currently pursuing courses in Data Science, Statistics, and Programming.

• Data Science

• Statistics

• Programming

I am fully committed to the internship, ready to dedicate the necessary time and effort to excel in my role.

• I can commit to 20-30 hours per week, aligning with the internship schedule.

• I am flexible with my hours, able to work evenings or weekends if needed.

• I prioritize this internship and will manage my academic workload accordingly.

• For example, I can adjust my study schedule to ensure I meet all internship deadlines.

Data analytics is the process of examining data sets to draw conclusions and support decision-making.

• Involves collecting, processing, and analyzing data to uncover patterns.

• Used in various fields like business, healthcare, and sports for insights.

• Example: Retailers analyze customer purchase data to optimize inventory.

• Tech companies use data analytics to improve user experience and product features.

• Healthcare providers analyze patient data to enhance treatment outcomes.

A primary key is a unique identifier for a record in a database table, ensuring data integrity and enabling efficient data retrieval.

• Uniqueness: Each value in a primary key column must be unique across the table.

• Non-null: Primary key fields cannot contain NULL values.

• Single or Composite: A primary key can be a single column or a combination of multiple columns (composite key).

• Example: In a 'Users' table, 'UserID' can be a primary key, uniquely identifying each user.

• Referentia...read more

My name is Alex Johnson, a passionate data analytics enthusiast eager to leverage data for impactful decision-making.

• I have a background in statistics and programming, which helps me analyze data effectively.

• I enjoy using tools like Python and SQL to extract insights from complex datasets.

• In my previous project, I analyzed customer behavior data to improve marketing strategies.