Data Science Quiz


Play this quiz that will help you to excel in Data Science certification exams, placements etc. This Data Science quiz consist of 10 questions that you need to solve in 10 minutes. We’ve specially designed this quiz so that you can quickly acquaint to the pattern of questions you can be asked in placement drives, certification exams etc. This Data Science test enables you to assess your knowledge of Data Science.

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Data Science MCQs

Practice Data Science MCQ Questions, which will help you to improve your data science skills and also helps you to prepare for placements, technical rounds, interviews, competitive exams etc.

Data Science Quiz

Try Free Data Science Quiz, to start a quiz you need to login first, after login you will get start quiz button and then by clicking on that you can start quiz. You will get 10 Minutes to answer all questions.

Data Science Quiz

1. Which of the following lists names of variables in a data.frame?

par()
names()
barchart()
quantile()

2. Which of the following is/are Limitations of deep learning?

Data labeling
Obtain huge training datasets
Both A and B
None of the above

3. The most important object defined in NumPy is an N-dimensional array type called?

ndarray
narray
nd_array
darray

4. __________ may be defined as the data objects that do not comply with the general behavior or model of the data available.

Outlier Analysis
Evolution Analysis
Prediction
Classification

5. What will be output for the following code?

from scipy.special import logsumexp

import numpy as np

a = np.arange(10)

res = logsumexp(a)

print res

10
9.45862974443
9
9.46

6. Singular Value Decomposition is some sort of generalisation of __________ decomposition.

Singular
Eigen vector
Eigen value
None Of the above

7. The ________ project builds on top of pandas and matplotlib to provide easy plotting of data.

yhat
Seaborn
Vincent
Pychart

8. SciPy Original author is?

Guido van Rossum
Travis Oliphant
Wes McKinney
Jim Hugunin

9. What will be output for the following code?

import pandas as pd
import numpy as np

s = pd.Series(np.random.randn(4))

print s.ndim

0
1
2
3

10. Python pandas was developed by?

Guido van Rossum
Travis Oliphant
Wes McKinney
Brendan Eich

Results