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. Point out the correct statement.

Raw data is original source of data
Preprocessed data is original source of data
Raw data is the data obtained after processing steps
None of the above

2. NumPY stands for?

Numbering Python
Number In Python
Numerical Python
None Of the above

3. Axis 1, in panel represent?

minor_axis
major_axis
items
None of the above

4. Which of the following statements is true when you use 1×1 convolutions in a CNN?

It can help in dimensionality reduction
It can be used for feature pooling
It suffers less overfitting due to small kernel size
All of the above

5. Which of the following statement is true about Business Intelligence?

BI convert raw data into meaningful information
BI has a direct impact on organization's strategic, tactical and operational business decisions.
BI tools perform data analysis and create reports, summaries, dashboards, maps, graphs, and charts
All of the above

6. scipy.linalg always compiled with?

BLAS/LAPACK support
BLAS/Linalg support
Linalg/LAPACK support
None of the above

7. It is the measure of variability, based on dividing a data set into quartiles.

Deviation
Standard Deviation
Range
Inter Quartile Range

8. A ________ is a structured representation of data.

database table
functions
data prepration
data frame

9. Which of the following is correct skills for a Data Scientist?

Probability & Statistics
Machine Learning / Deep Learning
Data Wrangling
All of the above

10. 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()

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