Python Array Interview Questions 11-15

Today we will take some Python Array Interview Questions. We will try to cover the basic questions and then will move towards some interview questions that are frequently asked in the analytics domain.

Companies like Zynga, Myntra, Housing, Ola, Oyo, etc. emphasize quite a bit on the Python skills of the candidate (at least moderate skills) for the first round. In our series of 200 questions, we will try to cover all the types of questions asked with solutions.

Python Array Interview Questions



Python Array Interview Questions

11. Finding the sum of elements of the array

a = [1,4,5,7]
s = 0
for i in a:
s = s+i;
print("Sum of array is = ",s)

12. The Largest element of an array

a = [1,5,7,3,4,9,18,222]
num = len(a)
def lar(a):
largest = a[0]
for i in range(2,num):
if largest <= a[i]:
largest = a[i]
return largest
print("The largest element is = ",lar(a))

13. Rotate an array

x = [1,2,5,6,7]
y = len(x)
z = []
for i in range(0,(y)):
z.append(x[y-i-1])
print(z)
Python Array Interview Questions

14. Split the array at a particular point

a = [1,4,6,12,54]
d = 3
x = []
y = []
for i in range(0,len(a)):
if i<d:
x.append(a[i])
else:
y.append(a[i])
print(x+y)
Python Array Interview Questions

15. Interchange the first and the last element in a list

l = [1,2,3,5,6]
temp = l[0]
l[0] = l[len(l)-1]
l[len(l)-1] = temp
print(l)

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Python Interview Questions for Analysts – 5-10

Python Interview Questions for Analysts will help you understand the type of questions that you can expect in an analytics interview. Product-based companies mostly focus on asking at least 5-7 Python questions around the basic logic like Palindrome, rotating an array, sum of diagonal, string, Armstrong numbers, etc. to check the experience of the candidate in Python. We will have a complete set of 200 questions to make sure you can handle these questions like a breeze

Python Interview Questions for Analysts



Link to Question 1 to 5

Python Interview Questions for Analysts

6. Check if a number is prime or not

x = int(input("Enter a number = "))
if x > 1:
for i in range(2,int(x/2)+1):
if (x%i == 0):
print("Not a Prime Number")
break
else:
print("Prime Number")
else:
print("Not a prime number, infact it is a negative number")

7. Prime number in a list of numbers with starting and endpoint

x = int(input("Enter a starting point = "))
y = int(input("Enter an ending point = "))
def prime(x,y):
prime = []
for i in range(x,y):
if (i == 0 or i == 1):
continue
else:
for j in range(2,int(i/2)+1):
if(i%j == 0):
break
else:
prime.append(i)
return prime
print("The list of prime numbers are = ", prime(x,y))

8.Fibonacci Series 0,1,1,2,3,5,8,13…

x = int(input("Enter the n-th fibonacci series number = "))
def fib(x):
if x<=0:
print("Incorrect number")
elif x==1:
return 0
elif x==2:
return 1
else:
return fib(x-1)+fib(x-2)
print("Fibonacci number on the n-th place is ", fib(x))

Python Interview Questions for Analysts

9. check if a given number is a perfect square or not

n = int(input("Enter a number = "))
def sq(n):
s = int(math.sqrt(n))
return s*s == n
print("The status of number = " , sq(n))

10. Print ASCII value of a character in python

x = input("Take a character")
print("The ASCII Value of the character is ", ord(x))

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Python Analytics interview questions 1-5

Python Analytics interview questions
In this series, we will add some of the basic questions to start with Python. Slowly we will move to moderate level DSA questions followed by Pandas, Numpy, and OS module.
All you need to do is to install Python in your system and start from scratch.

Python Analytics interview questions



We will try to solve each question in multiple ways, if you are missing out on the basics then do consult Tutorialspoint or w3school. Invest around 6 hours on these websites and you should be good to go

Python Analytics interview questions

Python Basic Question

1. Take input of two numbers from users and find out the maximum

a = input("Enter first number :")
b = input("Enter second number ")
if a>b:
print(a + " is greater than " + b)
else:
print(b + " is greater than "+a)

or

a = 30
b = 40
print(a if a>b else b)

or

a = 10
b = 30
c = max(a,b)
print(c)

2. Print the factorial of any number

a = 10
def fact(n):
if (n == 1 or n==0):
return 1
else:
return n*fact(n-1)
print(fact(5))

or

import math
print(math.factorial(5))
Python Analytics interview questions



3. Get square of the number if the number is odd and cube if even

def yoo(n):
if (n%2 == 0):
return nnn
else:
return n*n
print(yoo(3))
print(yoo(2))



4. Print square of first n natural numbers

x = int(input("Enter a natural number = "))
def sum_of_natural(x):
ss = 0
for i in range(1,x):
ss = ss+(i*i)
return ss
print("Sum of square of natural numbers are = " , sum_of_natural(x))
Python Analytics interview questions



5. Find if a number is an Armstrong number.

Example – 153 is an Armstrong number as 1^3+5^3+3^3 = 153

num = int(input("Enter a number = "))
s = 0
x = num
while (x >0 ):
digit = x%10
s = s+(digitdigitdigit)
x = x//10
print(s)
print("Armstrong" if s == num else "Not Armstrong")
Python Analytics interview questions


The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

OS module in Python – Complete Tutorial

We all have worked with Pandas and Numpy libraries, we might have also used matplot and some machine learning libraries. But, definitely os module in Python is one of the important modules present in the language. Once you recognize the importance of this module, then there is no going back.
OS module in Python is used to interact with your operating system.

When you working in a big data domain then you are bound to work on Hadoop ecosystem and if you working on something where you need to keep a tap on the way things are stored (whether Hadoop or your personal operating system) you need to understand the ways in which you can interact with the files, folders, and directories of the system. OS module helps you in the same.

In this blog, we will look into some important functions of the os module and rest you can practice on your own.


1. How to import the os module?

import os

2. How to get the current working directory?

os.getcwd()

OS module in Python

3. How to make a directory using this os module?

os.makedirs(“Name of the directory”)

Once you execute this code, you will have a new folder in your current working directory.
os.makedirs() method in Python is used to create a directory recursively. That means while making leaf directory if any intermediate-level directory is missing, os.makedirs() method will create them all.

OS module in Python

4. How to get the list of all the files in your root directory using os module?

Use the power of listdir()

Example :-

x = “The location from where you need to list the directories”
dir_list = os.listdir(x)
print(list_dir)

OS module in Python

5. How to remove a directory using os module?

os.remove()
os.rmdir()

os.remove() method in Python is used to remove or delete a file path. This method can not remove or delete a directory. If the specified path is a directory then OSError will be raised by the method.
os.rmdir() method in Python is used to remove or delete an empty directory. OSError will be raised if the specified path is not an empty directory.

OS module in Python

6. You have a file name in one list or variable and path in another, how will you get to the file?

x = “Alpha”
path = “Users/kamal/Documents/prod”
final_path = os.path.join(path,x)
print(final_path)

OS module in Python

7. You have to extract all the file with extension .sql names present in a particular folder, how to do this?

The problem statement is to create a list of all the sql files present in any directory or folder in your root folder.
Here we will be using the os.walk()

We declared a list with the name sql_file, then in the mypath variable we have the complete path of the directory in which you have to find the .sql file
Now walk() is used when you have to parse in multi-level folders.
In each of the variable the folder,path and file contains the name of the directory, path of the file and file name. Since we need to check the file name which ends with .sql, so we will parse only the file. The if and append conditions are intuitive

OS module in Python

8. Check if there is a particular file present in your directory?

print(os.path.exists(“Name of the file”)

OS module in Python

9. How to split the file name and path of the file using os module?

use the function os.path.split(“Complete path”)
This method splits the pathname into a pair of head and tail. Here, the tail is the last pathname component and the head is everything that comes before it. The method returns a tuple of the head and tail of the specified path.

OS module in Python

10. How to get the time of the last modification of a file?

os.path.getmtime() :
This method returns the time of the last modification of the path

These examples are just to show the capability of os module in Python, a lot of problems can be solved if you know how to use this module.

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Data Science Interview preparation – Day 5/30

Data Science Interview preparation

Welcome to the Data Science Interview preparation. Today we will cover some basic topics on SQL, Python, Machine learning, and Case studies. Let’s get started with the Data Science Interview preparation.

Videos to cover for Data Science Interview preparation :

Data Science Interview preparation

5 videos for Day 5

Is set an indexed and ordered data type? If not then how do you actually access data from a set?

Every t-value has a p-value, explain.

Daily Quiz to crack Data Science interview | Day 2

Get the time for which a driver has logged into the driving app | Ola interview question

Write a Python program to take a number and check if it’s a palindrome or not

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Data Scientist Interview Questions -3/30

Data Scientist Interview Questions

Welcome to the Data Science Interview Questions. Today we will cover some basic topics on SQL, Python, Machine learning, and Data visualization. Let’s get started with the Data Science Interview Questions.

Data Scientist Interview Questions

 
The main requirements of a Data Scientist Job are:

  1. Programming
  2. Data analysis tools
  3. Statistics
  4. Machine learning
  5. Data visualization tools

Videos to cover for Data Scientist Interview Questions :

To check your learnings head to:

  1. Count of duplicate rows in SQL
  2. What do you mean by mutable and immutable data type? Explain
  3. Demand and Supply increased by 10% but total booking was down by 10% for a particular week, Why?
  4. Difference in the formula of variance calculated for population and sample, Why?
  5. How much is the annual income of a beggar in Bangalore?
Data Scientist Interview Questions

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Data Science Interview Questions – 1/30

Data Science Interview questions
It’s the first post of the upcoming 30 posts. In each post, you will have 5 videos to cover and 5 questions/articles to cover the basics.
The effort required – 1.5 to 2 hours
Outcome – In 30 days you will cover almost all the topics/concepts which are asked in an Analytics interview. Once done, you can start applying and you will find more than 80% of questions from these topics.

Don’t skip any video or article. Solve the questions which are mentioned in the post and put them on the bookmark. Better to have a dedicated notebook for these 30 days.

All the best for Data Science Interview Questions 🙂

Data Science Interview Questions
Welcome to the first day of the Data Science Interview Preparation. Today we will cover some basic topics on SQL, Python, and Case Study. Let’s get started with the Data Science Interview Questions.

Data Science Interview Questions



Videos to cover for Data Science Interview Questions :

Sum of digits in Python
In this video, you will get familiar with the programming in python by adding all the digits of a given number to find the sum of the digits.

Type, String, Index-Reverse Index in Python
In this tutorial, you will understand what are data types, the various data types present in python and various use cases for these data types.

Sum, prod of digits, list in Python
In this video, you will learn to find the product of the digits of a given number

Maximum and Minimum in Python
You are given 2 numbers. You need to print out which one is greater than the other. Check out this video to learn how.

Factorial in Python
You might have found factorials on paper before. But today you will learn to do it with the help of python from this video.

5 must read articles

Machine Learning MCQ
Python Quiz 3 | Daily Quiz 3
Python MCQ | Daily Quiz Day 2
Python for Data Science | Quiz 1
Amazon Leadership Principle Questions for interview

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Uber Data Scientist Interview Questions

Uber Data Scientist Interview Questions
Company – Uber
Role – Data Scientist
Location – San Francisco, CA and India

Uber Data Scientist Interview Questions

Uber Data Scientist Interview Questions

Before you start, if you want to check Salary/30days road map/company wise interview questions then you can watch the following videos


Salary of Anlaytics jobs in Amazon,Flipkart,Myntra,OYO,Housing
Complete 30 Days Roadmap to crack Data Analyst Interview
Zomato Business Analyst Interview Questions
Round 1 -Resume Interview
Topics covered – Resume

Mode of interview – Phone
Duration – 60 Minutes
Level of Questions – Medium/Easy

A few questions from this round:

Round 2 – Technical Interview
Topics covered – Case Studies/ Machine Learning
Mode of interview – Phone
Duration – 45 minutes
Level of Questions – Medium

The question from this round:

Round 3- Take-Home Assignment
Topics- Data science and programming skills
Mode of Interview- Home
Duration – 1 week
Level of questions- Medium

A few questions from this round:

Round 4 – Technical
Topics covered -Machine Learning
Mode: Onsite
Duration – 2 hours
Level of Questions – medium
A few questions below from this round:

Attempt all the questions given above, we will evaluate and will let you know your selection score

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com

Walmart Data Scientist Interview Questions – Updated 2023

Walmart Data Scientist Interview Questions – We interviewed a couple of folks working as a Data scientists at Walmart. According to them the interview will be quite technical in nature with a lot of emphasis on ML and Python. SQL questions are also asked(not more than 4-5). You can practice the questions below to get yourself familiar with Walmart Data Scientist Interview Questions

Role – Data Scientist
Location – Gurgaon, India


Salary of Anlaytics jobs in Amazon,Flipkart,Myntra,OYO,Housing
Complete 30 Days Roadmap to crack Data Analyst Interview
Zomato Business Analyst Interview Questions

Round 1 – Technical

Topics covered – Coding

Mode of interview – Hackerrank
Duration – 45 Minutes
Level of Questions – Easy
A few questions from this round:

Print all the branches in a binary tree
Join two sorted arrays

Round 2 – Technical Round

Topics covered – probability and statistics and big data questions
Mode of interview – Hangout
Duration – 1 hour
Level of Questions – Medium
What is the difference between Gradient Boosting and Random Forest?
What are the different types of Sampling methods that you have used?
Explain the difference between bagged and boosting models.
What is cross entropy?
What is multi-collinearity, how do you fix it in a regression?
What is the significance of log odds?
Give some problems or scenarios where map-reduce concept works well  and where it doesn’t work.
Given a dataset having employee id and manager id find the employees who are also managers ?
A person is using search engine to find something, you know nothing about her/him, how do you come up with am algorithm that will predict what she/he needs after the user types only a few letters ?

Round 3- Technical
Topics- Machine learning
Mode of Interview- Hangout
Duration – 1 hour
Level of questions- Medium

A few questions from this round:

Let’s say we want to build a model to predict booking prices on Airbnb. Between linear regression and random forest regression, which model would perform better and why?
 Generally, what happens to bias & variance as we increase the complexity of the model?
What is the intuition behind F1 score?
Describe how you would build a model to predict Uber ETAs after a rider requests a ride.

Round 4 – HR 

Topics covered -Experience
Mode: Telephone Call
Duration – 1 hour
Level of Questions – Mostly on projects

Some questions on past projects, ability to lead a team and previous responsibilities were discussed.
Offer was released in 3-4 days after the Hiring Manager round

Walmart Data Scientist Interview Questions

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com


Daily Quiz to crack Data Science Interview | Day 10

Case Study for Analytics interviews
Case Study for Analytics interviews

Case Study for Analytics interview

Day 10 Quiz

SQL – Concepts of RDBMS, Dataware House and Database
Python – Map and Hash Map
Statistics – How do you create a sample data of 1000 rows from a population of 1 Million rows and 100 columns?
Case Study – What are the factors to consider if you work in the sales department of Samsung and you want to start a store in one of the most crowded malls of Bangalore?
Machine Learning – Regularization in Python

Daily Quiz Repository

Daily Quiz Day 1 Questions
Daily Quiz Day 2 Questions
Daily Quiz Day 3 Questions
Daily Quiz Day 4 Questions
Daily Quiz Day 5 Questions
Daily Quiz Day 6 Questions
Daily Quiz Day 7 Questions
Daily Quiz Day 8 Questions

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

  1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
    Link – The Data Monk Youtube Channel
  2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
    Link – The Data Monk website
  3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
    Link – The Data E-shop Page
  4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
    Link – The Data Monk Instagram page
  5. Mock Interviews/Career Guidance/Mentorship/Resume Making
    Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it


For any information related to courses or e-books, please send an email to nitinkamal132@gmail.com