AccioJob Data Analyst Intern Interview Questions and Answers

Q1. Given Json Data convert it into Pandas Dataframe with required columns .
Ans. 
Convert Json Data to Pandas Dataframe
• Use the pandas library to import the json data

• Use the pandas.DataFrame() function to convert the json data into a dataframe

• Specify the required columns in the dataframe
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Q1. Tell me about your self? Why do u want to do this? Do u know about competitors of quikr? Do u know what is competition analysis?
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Q2. Why do u want to join quikr?
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In aptitude test the test is process to appear in interview process

In the coding test there is complex code to slove that and correct the errors

Q1. Self introduction of the interviewer
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Q2. What will hire you to our company
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Q1. Previously experience
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Q2. How my experience would be valuable in this new role
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Python,Sql ,multiple choice

Q1. What is p value
Ans. 
The p value is a measure used in hypothesis testing to determine the significance of the results.
• The p value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A p value of less than 0.05 is typically considered statistically significant.

• A p value greater than 0.05 suggests that the results are not statistically significant.

• Researchers use p values to determ...read more
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Q2. Calculate probability of unfair coin tossed n times and do hypothesis testing
Ans. 
Calculate probability of unfair coin tossed n times and do hypothesis testing
• Calculate the theoretical probability of getting heads or tails for the unfair coin

• Perform the actual coin toss n times and record the outcomes

• Use hypothesis testing to determine if the coin is unfair based on the observed outcomes
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Q1. What is bagging and boosting?
Ans. 
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent model c...read more
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Q2. Question on graphs
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Q1. 2 sets of SQL questions
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Q2. 1 python question
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Q1. About previous work project.
Ans. If you are preparing for data engineer role at foundit then make sure you are not lying at at your previous job because they will easily find it if you are lying in your resume.
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Q2. ETL process and Azure ecosystem quetions.
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