AMS Inform Data Analyst Interview Questions and Answers

Select the desired range.
Type the information into the first cell.
Press Enter to move to the next cell.
Type the appropriate information.
Repeat steps 3 and 4 until all information is entered.

What are the report formats on Excel?
What keyboard shortcut can you use to increase the number of decimal places?
How can you edit the formula in a cell?
What is a . ...
How can you split a column into more columns?
What is a nested if function?
How can you resize a row or column?

Excel is a powerful and versatile tool that can assist in analyzing and presenting data effectively, particularly through the use of case studies. A case study is a detailed examination of a specific situation or problem in order to better understand the complexities involved.

Listen to information about the business problem and probe deeply or broadly with thoughtful questions posed to the interviewer while building rapport.
Think out loud and express your ideas concisely, responding quickly and confidently, and deal with the pressure of the interview process.

Excel is a spreadsheet program from Microsoft and a component of its Office product group for business applications. Microsoft Excel enables users to format, organize and calculate data in a spreadsheet.

Q1. What is Microsoft Excel?
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Q2. Draw a marksheet in Excel
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Q3. Draw a employee salary sheet in excel
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Q4. Draw a any chart in excel
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Q5. Draw a any chart with pie chart
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Q6. What is ms word ?
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Q7. What is powerpoint?
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What is ms word? Microsoft Word enables us to create professional-quality reports, documents, resumes, and letters. Unlike a plain text editor, Microsoft Word has highlights including grammar check, spell check, image support, text and font formatting, advanced page layout, HTML support, and more.

How to make a case study in word?
How to Use This Template
Identify an accomplishment you'd like to highlight, whether your own or someone else's (like a friend or client's)
Download the free Case Study Template in Microsoft Word, PDF, or Google Docs format.
Follow the instructions in the template and fill in the blanks, adding plenty of detail.

A Microsoft Word test is a quiz that assesses a job candidate's proficiency with MS Word. It tests the ability to prepare a neat, error free document, checking key MS Word skills like creating new documents, formatting text, using tables and dynamic page layouts, and inserting images and bookmarks.

Forecasting problem - Predict daily sku level sales

Q1. What is difference between bias and variance
Ans. 
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is the error introduced by approximating a real-world problem, leading to underfitting.

• Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

• High bias can cause a model to miss relevant relationships between features and target variable.

• High variance can cause a model to ...read more
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Q2. Parametric vs non parametruc model
Ans. 
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
• Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

• Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

• Examples of parametric models inc...read more
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Easy and moderate level question

Given a relevant topic and discussion on it

Q1. Introducd yourself
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Q2. Why do you want to join us
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Q1. Mostly about projects ml, nlp, python code would be asked
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Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
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Q1. Organisation fit
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Q1. What is the full form of ETL?
Ans. 
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
• ETL stands for Extract, Transform, Load

• Extract: Involves extracting data from various sources such as databases, applications, and files

• Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...read more
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Q2. ETL Full form is Exact, Transform, Load.
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Q1. First of thanks you so much for giving this opportunity introduce my self my name is sai srividya lam from Hyderabad l have completed my graduation st,anns women's college from Malkajgiri Iam belongs to ...read more
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Q2. Hyderabad was founded in 19591 and planned as a grid with the charminar at its centre. It has now grown well beyond the confines of the original walled city, to include a new town north of the music river,...read more
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Q3. All about my hobbies
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Q4. Which is my favourite colour
Ans. 
My favorite color is blue.
• Blue is often associated with calmness and tranquility.

• It is a versatile color that can be both soothing and bold.

• Examples of shades of blue include navy, sky blue, and teal.
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Q5. What is my favourite film
Ans. 
My favorite film is The Shawshank Redemption.
• Directed by Frank Darabont

• Based on a Stephen King novella

• Set in a prison

• Themes of hope and redemption

• Starring Tim Robbins and Morgan Freeman
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Q6. Which is my favourite food and this is like very mostly like it which is favourite colour l like mostly more more .
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Q7. Which is my favourite hero and like most and my favourite music is what l like mostly more more.
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Reasoning and aptitude questions were asked

Q1. Interview was around python programming and team fitment
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Q1. What is overfitting in machine learning?
Ans. 
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor performance on unseen data as the model fails to generalize well.

• Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

• ...read more
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Q2. Overfitting accurs when a model learns the details.......etc
Ans. 
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor generalization and high accuracy on training data but low accuracy on new data.

• Techniques to prevent overfitting include cross-validation, regularization, and...read more
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