Data Science MCQs

This section focuses on "Basics" of Data Science. These Data Science Multiple Choice Questions (MCQ) should be practiced to improve the skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.

1. Data science is the process of diverse set of data through ?

A. organizing data
B. processing data
C. analysing data
D. All of the above

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2. The modern conception of data science as an independent discipline is sometimes attributed to?

A. William S.
B. John McCarthy
C. Arthur Samuel
D. Satoshi Nakamoto

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

A. C
B. C++
C. R
D. Ruby

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4. Which of the following is false?

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

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5. What is the work of Data Architect?

A. utilize large data sets to gather information that meets their company's needs
B. work with businesses to determine the best usage of the information yielded from data
C. build data solutions that are optimized for performance and design applications
D. All of the above

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

A. Probability & Statistics
B. Machine Learning / Deep Learning
C. Data Wrangling
D. All of the above

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7. Which of the following are correct component for data science?

A. Data Engineering
B. Advanced Computing
C. Domain expertise
D. All of the above

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8. Which of the following is not a part of data science process?

A. Discovery
B. Model Planning
C. Communication Building
D. Operationalize

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9. Which of the following are the Data Sources in data science?

A. Structured
B. UnStructured
C. Both A and B
D. None Of the above

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10. Which of the following is not a application for data science?

A. Recommendation Systems
B. Image & Speech Recognition
C. Online Price Comparison
D. Privacy Checker

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11. Point out the correct statement.

A. Raw data is original source of data
B. Preprocessed data is original source of data
C. Raw data is the data obtained after processing steps
D. None of the above

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12. Which of the following is one of the key data science skills?

A. Statistics
B. Machine Learning
C. Data Visualization
D. All of the above

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13. Which of the following is a key characteristic of a hacker?

A. Afraid to say they don't know the answer
B. Willing to find answers on their own
C. Not Willing to find answers on their own
D. All of the above

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14. Raw data should be processed only one time.

A. True
B. False
C. Can be true or false
D. Can not say

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15. Which of the following is the common goal of statistical modelling?

A. Inference
B. Summarizing
C. Subsetting
D. None of the above

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16. Causal analysis is commonly applied to census data.

A. True
B. False
C. Can be true or false
D. Can not say

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17. Which of the following model is usually a gold standard for data analysis?

A. Inferential
B. Descriptive
C. Causal
D. All of the above

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18. Which of the following is a revision control system?

A. Git
B. Numpy
C. Scipy
D. Slidify

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19. Which of the following step is performed by data scientist after acquiring the data?

A. Data Cleaning
B. Data Integration
C. Data Replication
D. All of the above

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20. Which of the following focuses on the discovery of (previously) unknown properties on the data?

A. Data mining
B. BigData
C. Data wrangling
D. Machine Learning

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21. Data can be categorized into ______ groups.

A. 1
B. 2
C. 3
D. 4

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22. Unstructured data is not organized.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say

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23. A column is a ________ representation of data.

A. horizontal
B. diagonal
C. vertical
D. top

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24. A ________ is a structured representation of data.

A. database table
B. functions
C. data prepration
D. data frame

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25. We write ______ in front of mean to let Python know that we want to activate the mean function from the Numpy library.

A. npm.
B. np.
C. ng.
D. ngm.

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