MICROSOFT DATA SCIENCE INTERVIEW QUESTIONS

Here is the list Data Science Interview Questions which are recently asked in Blackboard company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.

1. On a scale of 1–10, how comfortable are you with Python?

The interviewer ask this question to know how much do you know that you don’t know, so make sure to back your score with explanation on what you need to score higher. You can even throw it back to them and ask how your company would make me reach an 8 or 9.

2. How do you write functions in Python?

Begin the definition of a new function with def followed by the name of the function and follow the rules for variable names.
Then parameters in parentheses, colon.
Then an indented block of code.

3. Give some use cases for Pandas, NumPy.

NumPy provides various computing tools such as comprehensive mathematical functions, linear algebra routines. Pandas are used for handling, clearing of data, margining and joining of dataset, alignment and indexing.

4. What libraries do you frequently use?

Numpy.
Scipy.
Pandas

5. What are the local and global variables in Python?

Variables that are only referenced inside a function are implicitly global. If a variable is assigned a value anywhere within the function’s body, it’s assumed to be a local unless explicitly declared as global.

6. Mention five benefits of using Python?

Easy to Read, Interpreted Language.
Dynamically Typed with Improved Productivity.
Free and Open-Source with Vast Libraries Support.
Portability.

7. How do you create a dictionary in python?

The dictionary can be created by placing a sequence of elements within curly {} braces, separated by ‘comma’. Dictionary holds a pair of values, one being the Key and the other corresponding pair element being its Key:value.

8. How will you convert a string to an int in python? (Data type conversion)

To convert a string to integer in Python, use the int() function. This function takes two parameters: the initial string and the optional base to represent the data. Use the syntax print(int(“STR”)) to return the str as an int , or integer.

9. Can you illustrate a few commands for data cleaning?

Data cleaning can be done using Numpy, Pandas using combining str methods, applymap function to clean entire data set, tidying up fields, renaming columns and skipping rows.

10. How can you get information about the data frame?

The info() function is used to print a concise summary of a DataFrame. This method prints information about a DataFrame including the index dtype and column dtypes, non-null values and memory usage.

11.What will be the output of the following code snippet? [I was given sample code]

Look into the code snippet carefully and write the output by taking each code step into consideration. Explain to the interviewer in detail with the output of the code.

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MICROSOFT DATA SCIENCE INTERVIEW QUESTIONS