Capium Data Specialist Interview Questions and Answers

Q1. What is excel? How it is work.
Ans. 
Excel is a spreadsheet program used for organizing, analyzing, and storing data in tabular format.
• Excel is part of Microsoft Office suite.

• It allows users to create tables, charts, graphs, and perform calculations.

• Data can be entered manually or imported from external sources.

• Formulas and functions can be used to manipulate data.

• Excel is commonly used for financial analysis, budgeting, and data visualization.
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Q2. How to work word?
Ans. 
To work with words, one must have strong typing skills, attention to detail, and knowledge of data entry software.
• Practice typing regularly to improve speed and accuracy.

• Use spell check and grammar tools to ensure accuracy.

• Familiarize yourself with data entry software such as Microsoft Excel.

• Organize and prioritize tasks to efficiently input data.

• Double-check entries for errors before submitting.

• Seek feedback and train...read more
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Q3. How to work in ms excel? Benifit to speak.
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Q4. What is microprocessor?
Ans. 
A microprocessor is a small electronic device that functions as the central processing unit of a computer.
• Microprocessors are made up of millions of tiny components like transistors and resistors.

• They execute instructions and perform calculations for various tasks.

• Examples of microprocessors include Intel's Core series and AMD's Ryzen series.
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Q1. What is the difference between logistic regression and linear regression? How do you decide the threshold?
Ans. 
Logistic regression is used for classification while linear regression is used for regression. Threshold is decided based on the problem.
• Logistic regression predicts the probability of an event occurring, while linear regression predicts a continuous outcome.

• Logistic regression uses a sigmoid function to map the predicted values between 0 and 1.

• Linear regression uses a linear equation to model the relationship between ...read more
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Q2. How do you decide the evaluation metric for a problem?
Ans. 
The evaluation metric for a problem is decided based on the specific goals and requirements of the problem.
• Consider the problem's objective: classification, regression, clustering, etc.

• Understand the business or research context to determine the most relevant metric.

• Evaluate the metric's suitability: sensitivity to class imbalance, interpretability, etc.

• Choose a metric that aligns with the problem's priorities and cons...read more
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I need to clean the data which include lot of junk in it and visualization transformation etc

Q1. Technical Questions ware asked by the project lead
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Q1. Salary discussion and the shift details and stability analysis
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