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. Causal analysis is commonly applied to census data.

True
False
Can be true or false
Can not say

2. __________Statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables.

Descriptive
Quantitative
Inferential
Qualitative

3. In how many ways, analysis of any event can be done?

2
3
4
5

4. Which of the following language is used in Data science?

C
C++
R
Ruby

5. Which of the following code is used to whiten the data?

data = numpy.whiten(data)
data = whiten(data)
data =SciPy.whiten(data)
data = data.whiten()

6. What will be output for the following code?

from scipy import linalg

import numpy as np

a = np.array([[3, 2, 0], [1, -1, 0], [0, 5, 1]])

b = np.array([2, 4, -1])

x = linalg.solve(a, b)

print x

array([ 2., -2., 9., 6.])
array([ 2., -2., 9.])
array([ 2., -2.])
array([ 2., -2., 9., -9.])

7. What will be correct syntax for pandas series?

pandas_Series( data, index, dtype, copy)
pandas.Series( data, index, dtype)
pandas.Series( data, index, dtype, copy)
pandas_Series( data, index, dtype)

8. When performing regression or classification, which of the following is the correct way to preprocess the data?

Normalize the data -> PCA -> training
PCA -> normalize PCA output -> training
Normalize the data -> PCA -> normalize PCA output -> training
None of the above

9. Data can be visualized using?

graphs
charts
maps
All of the above

10. Which of the following is not a major data analysis approaches?

Data Mining
Predictive Intelligence
Business Intelligence
Text Analytics

Results