NeenOpal Intelligent Solutions Data Scientist Interview Questions and Answers

Two tasks, one python and one SQL based

Q1. Q1.) Given sample data in text, read it in python Solution: Take the text to notepad, save it as CSV and then read it in python Check the number of null values Check the number of unique values Make a new...read more
Ans. 
Read sample data in text, check for null and unique values, create new column by multiplying two features
• Save text data as CSV and read in Python using pandas

• Use isnull() to check for null values

• Use nunique() to check for unique values

• Create a new column by multiplying two existing columns

• Add the new column to the existing dataframe
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Q2. Q3.) Query the minimum & maximum marks from the student table. Will the output be in the form of columns or rows. What to do in order to get the output in rows?
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Q3. Q2.) Difference between list and tuple? a = [1,2,3,4,5,6,7,8,9] print(a[-1:-5]) Without running this code in compiler, tell the output
Ans. 
The code will output an empty list as a result of slicing from -1 to -5 in the list 'a'.
• Slicing in Python allows you to access a subset of elements in a list or tuple.

• When slicing, the start index is inclusive and the end index is exclusive.

• In this case, a[-1:-5] will result in an empty list because the start index -1 is greater than the end index -5.
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Q4. Q4.) Fibonacci series in python
Ans. 
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
• Use a loop or recursion to generate Fibonacci series in Python.

• Start with 0 and 1 as the first two numbers in the series.

• Add the previous two numbers to get the next number in the series.
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SQL, Pandas, Power BI

Q1. SQL and Pandas questions
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The assignment consisted of three sections where the third section is optional and it only need some basic knowledge of SQL and python

Q1. Here the HR will ask you some questions related to python, SQL, and aptitude (just some basic questions)
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Q1. More of a discussion of your previous projects
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Q1. About project About experience Basic sql questions Puzzles Remove duplicates coding question Pandas data cleaning using groupby merge and some basics
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