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

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Data Science Quiz

1. Which are cons of data visualization?

It conveys a lot of information in a small space.
It makes your report more visually appealing.
visual data is distorted or excessively used.
None Of the above

2. _________ is a category of applications and technologies for presenting and analyzing corporate and external data.

MIS
DIS
EIS
CIS

3. What is true about data mining?

Data Mining is defined as the procedure of extracting information from huge sets of data
Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation
Data mining is the procedure of mining knowledge from data.
All of the above

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

ndarray
narray
nd_array
darray

5. The matrix which is the sum of all the diagonal elements of a square matrix?

Diagonal matrix
Trace matrix
Identity matrix
Both A and B

6. Which of the following is false?

Subsetting can be used to select and exclude variables and observations
Raw data should be processed only one time.
Merging concerns combining datasets on the same observations to produce a result with more variables
None Of the above

7. Business intelligence (BI) is a broad category of application programs which includes _____________

Decision support
Data Mining
OLAP
All of the above

8. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called?

Mining of Association
Mining of Clusters
Mining of Correlations
None of the above

9. 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()

10. Which of the following makes use of pandas and returns data in a series or dataFrame?

pandaSDMX
freedapi
OutPy
Inpy

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