Cognizant Data Analyst Interview Questions and Answers

I enjoy a variety of hobbies that enhance my analytical skills and creativity, such as data visualization, reading, and hiking.

• Data Visualization: I create visual representations of data using tools like Tableau and Power BI.

• Reading: I read books on data science and analytics to stay updated with industry trends.

• Hiking: I enjoy hiking, which helps me clear my mind and think critically about data problems.

PV stands for Present Value, a financial concept used to determine the current worth of a future sum of money.

• PV is calculated by discounting the future cash flows by a certain rate of return.

• It helps in making investment decisions by comparing the present value of future cash flows to the initial investment.

• PV is used in various financial calculations such as net present value (NPV) and internal rate of return (I...read more

The process outline involves identifying the problem, collecting and analyzing data, and presenting insights and recommendations.

• Identify the problem or question to be answered

• Collect relevant data from various sources

• Clean and preprocess the data

• Analyze the data using statistical methods and tools

• Visualize the data to identify patterns and trends

• Present insights and recommendations to stakeholders

I would query the relevant stakeholders involved in the data collection process.

• Identify the stakeholders involved in the data collection process

• Reach out to them to understand the data collection process and identify any potential issues

• Collaborate with them to resolve the TP discrepant data

Transposing a data set involves flipping rows and columns.

• Identify the data set to be transposed

• Create a new table with the columns and rows flipped

• Copy the data from the original table to the new table

• Transpose can be done using Excel, Python, R, SQL, etc.

• Example: Transposing a table of sales data to have products as rows and months as columns

C is a procedural language while Java is an object-oriented language.

• C is compiled while Java is interpreted

• C has pointers while Java does not

• Java has automatic garbage collection while C does not

• Java is platform-independent while C is not

• Java has built-in support for multithreading while C does not

SQL commands are used to manipulate and retrieve data from relational databases.

• SQL stands for Structured Query Language

• Common SQL commands include SELECT, INSERT, UPDATE, and DELETE

• SQL commands are used to create, modify, and delete database objects such as tables, views, and indexes

• Examples: SELECT * FROM customers; INSERT INTO orders (customer_id, order_date) VALUES (1, '2021-01-01'); UPDATE products SET price ...read more

Questions related to data analysis techniques and methods.

• Bais and variance trade-off: balancing model complexity and accuracy

• Handling imbalanced data: resampling techniques, adjusting class weights, using different evaluation metrics

• Multicollinearity: when predictor variables are highly correlated, can be handled by feature selection or regularization

• Lasso & Ridge: regularization techniques to prevent overfitting...read more