Yara International Data Analyst Interview Questions and Answers for Experienced

It was a website-based test and some average type questions

Advanced Python skills is required to clear the interview

Q1. Only technical discussion
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Q1. Only technical discussion on data models, AWS and sparks
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Q1. Explain logistic regression
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is a type of regression analysis used when the dependent variable is categorical or binary.

• It estimates the probability of the outcome using a logistic function.

• The model calculates the odds of the outcome and transforms them into probabilities.

• It uses a logit link ...read more
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Q1. Basic questions regarding ANOVA, Regression, Classification, Design of Experiments
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Q2. Practical questions for computer vision project that I did in my PhD
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Q1. Regarding Relocation
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Q2. Can't remember much It's long time
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Q1. What is pandas?
Ans. 
pandas is a Python library used for data manipulation and analysis.
• pandas provides data structures like DataFrame and Series for working with structured data

• It offers tools for cleaning, transforming, and analyzing data

• pandas can handle various data formats like CSV, Excel, SQL databases, and more
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Q2. While webscraping, do HTML tables also get extracted?
Ans. 
Yes, HTML tables can be extracted while webscraping.
• HTML tables can be extracted using libraries like BeautifulSoup in Python.

• The data from the HTML tables can be converted into a structured format like CSV or Excel.

• Webscraping tools like Octoparse and Import.io can also extract HTML tables.

• Regular expressions can be used to extract specific data from HTML tables.
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Q1. Based on CV and experience
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Typical business problems and how to solve those

Q1. Case interview and other random questions
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Q1. Self introduction, current company job profile, salary expectations, reason for leaving current job
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Q1. Technical aspects of animal nutrition
Ans. 
Technical aspects of animal nutrition involve understanding the nutritional requirements of different animals and formulating diets accordingly.
• Understanding the different types of nutrients required by animals, such as carbohydrates, proteins, fats, vitamins, and minerals

• Knowledge of the digestive system of different animals and how it affects nutrient absorption

• Ability to formulate diets that meet the nutritional req...read more
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Q1. Business head expectations from candidate
Ans. 
Business head expects the candidate to have strong leadership skills, strategic thinking, and the ability to drive results.
• Strong leadership skills

• Strategic thinking

• Ability to drive results

• Excellent communication and interpersonal skills

• Ability to manage and motivate a team

• Understanding of business operations and financial management

• Problem-solving and decision-making abilities

• Flexibility and adaptability to changing b...read more
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Q1. MD expectations from candidate
Ans. 
The MD expects the candidate to have strong leadership skills, excellent communication abilities, and a track record of achieving results.
• Strong leadership skills

• Excellent communication abilities

• Track record of achieving results
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Q1. DISCUSSED ABOUT MARKET SCEENS
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