Data Science Online Quiz, Data Science MCQ, W3Schools, Great Learning

1 .

Who is the father of data science?

A)

Rasmus Lerdorf

B)

James Gosling

C)

Guido van Rossum

D)

William S. Cleveland

Correct Answer : William S. Cleveland

Explanation :

The modern conception of data science as an independent discipline is sometimes attributed to William S. Cleveland. In a 2001 paper, he advocated an expansion of statistics beyond theory into technical areas; because this would significantly change the field, it warranted a new name. "Data science" became more widely used in the next few years: in 2002, the Committee on Data for Science and Technology launched Data Science Journal. In 2003, Columbia University launched The Journal of Data Science. In 2014, the American Statistical Association's Section on Statistical Learning and Data Mining changed its name to the Section on Statistical Learning and Data Science, reflecting the ascendant popularity of data science.

The professional title of "data scientist" has been attributed to DJ Patil and Jeff Hammerbacher in 2008. Though it was used by the National Science Board in their 2005 report, "Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century," it referred broadly to any key role in managing a digital data collection.

2 .

Who is the God of data science?

A)

Larry Wall

B)

Steve Jobs

C)

Geoffrey Hilton

D)

Dennis Ritchie

Correct Answer : Geoffrey Hilton

Explanation : Geoffrey Hilton is called the Godfather of Deep Learning in the field of data science. Mr. Hinton is best known for his work on neural networks and artificial intelligence. A Ph.D. in artificial intelligence, he is accredited for his exemplary work on neural nets.

3 .

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

A)

analysing data

B)

processing data

C)

organizing data

D)

All of the above

Correct Answer : All of the above

Explanation : Data science is the process of deriving knowledge and insights from a huge and diverse set of data through organizing, processing and analysing the data.

4 .

Which of the following language is used in Data science?

A)

R

B)

C

C)

C++

D)

Ruby

Correct Answer : R

Explanation : "R" is free software for statistical computing and analysis.

5 .

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

A)

ng.

B)

np.

C)

ngm.

D)

npm.

Correct Answer : np.

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

6 .

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

Correct Answer : Both (a) and (b)

7 .

Which of the following are correct component for data science?

A)

Domain expertise

B)

Data Engineering

C)

Advanced Computing

D)

All of the above

Correct Answer : All of the above

8 .

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

A)

Not Willing to find answers on their own

B)

Willing to find answers on their own

C)

Afraid to say they donâ€™t know the answer

D)

All of the above

Correct Answer : Willing to find answers on their own

Explanation : Hacker is an expert at programming and solving problems with a computer.

9 .

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

Correct Answer : Machine Learning

10 .

Why Machine Learning in Data Science?

A)

For Prediction

B)

For Cleaning

C)

For Visualization

D)

All of the above

Correct Answer : For Prediction

11 .

Who is a data scientist?

A)

Statistician

B)

Mathematician

C)

Software programmer

D)

All of the above

Correct Answer : All of the above

12 .

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

A)

Discovery

B)

Operationalize

C)

Model Planning

D)

Communication Building

Correct Answer : Communication Building

13 .

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

A)

Online Price Comparison

B)

Privacy Checker

C)

Recommendation Systems

D)

Image & Speech Recognition

Correct Answer : Privacy Checker

14 .

A column is a ________ representation of data.

A)

vertical

B)

top

C)

diagonal

D)

horizontal

Correct Answer : vertical

15 .

A ________ is a structured representation of data.

A)

functions

B)

database table

C)

data frame

D)

data prepration

Correct Answer : data frame

16 .

Point out the correct statement in Data Science

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

Correct Answer : Raw data is original source of data

Explanation : Accounting programs are prototypical examples of data processing applications.

17 .

Raw data should be processed only one time.

A)

True

B)

False

C)

Can not say

D)

None of the above

Correct Answer : False

18 .

Causal analysis is commonly applied to census data.

A)

True

B)

False

C)

Can not say

D)

None of the above

Correct Answer : False

Explanation : Descriptive analysis is commonly applied to census data.

19 .

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

A)

Descriptive

B)

Inferential

C)

functions

D)

Causal

Correct Answer : Causal

Explanation : A causal model is an abstract model that describes the causal mechanisms of a system.

20 .

Which of the following is a revision control system?

A)

Numpy

B)

Scipy

C)

Git

D)

Slidify

Correct Answer : Git

21 .

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

Correct Answer : Data mining

Explanation : Data munging or data wrangling is loosely the process of manually converting or mapping data from one "raw" form into another format that allows for more convenient consumption of the data with the help of semi-automated tools.

22 .

Which of the following technique comes under practical machine learning?

A)

Decision Tree

B)

Forecasting

C)

Data Visualisation

D)

None of the above

Correct Answer : Decision Tree

23 .

Which of the following is definition of Raw Data?

A)

Easy to use for data analysis

B)

Set of Measurement on Recorded Values

C)

Processed Data

D)

None of the above

Correct Answer : Set of Measurement on Recorded Values

24 .

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

A)

Data Replication

B)

Data Integration

C)

Data Forecasting

D)

Data Cleaning

Correct Answer : Data Cleaning

Explanation : Data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.

25 .

Data can be categorized into ______ groups.

A)

5

B)

4

C)

3

D)

2

Correct Answer : 2

Explanation : Data can be categorized into (2)two groups : Structured data and Unstructured data

26 .

What is the work of Data Architect?

A)

work with businesses to determine the best usage of the information yielded from data

B)

utilize large data sets to gather information that meets their company's needs

C)

build data solutions that are optimized for performance and design applications

D)

All of the above

Correct Answer : build data solutions that are optimized for performance and design applications

27 .

Weighted Average is used in :

A)

Regression

B)

Forecasting

C)

Classification

D)

All of the above

Correct Answer : Forecasting

28 .

Which of the following are "Measures of Central Tendency"?

A)

Mode, Mean, Median

B)

Mean, Range, Mode

C)

Mean, Standard Deviation, Range

D)

Range, Standard Deviation, Variance

Correct Answer : Mode, Mean, Median

29 .

____________ is a multidisciplinary which involves extraction of knowledge from large volumes of data that are structured or unstructured.

A)

Data Analysis

B)

Data Science

C)

Descriptive Analysis

D)

None of the above

Correct Answer : Data Science

30 .

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

A)

Subsetting

B)

Summarizing

C)

Inference

D)

None of the above

Correct Answer : Inference

Explanation : Inference is the act or process of deriving logical conclusions from premises known or assumed to be true.