Data Science

    University Question Paper( 2022)

Total No. of Questions: 5]                                                                SEAT No.:

P5152                                                                                                [Total No. of Pages: 2

[5823]-504

T.Y. BSc.

COMPUTER SCIENCE

CS-354: Foundations of Data Science 

(2019 Pattern) (CBCS) (Semester - V)


Time: 2 Hours)                                                                          [Max. Marks: 35                    Instructions to the candidates:

1) All questions are compulsory.

2) Figures to the right indicate full marks.

3) Neat diagrams must be drawn wherever necessary.


Q1) Attempt any EIGHT of the following:                             [8 × 1 = 8]

a) Define volume characteristic of date in reference to data science.

b)Give Examples of Semistructured Data

c) Define Data Discretization.

d) What is a quartile?

e) List different types of attributes

f) Define Data object

g) What is Data Transformation?

h) Write the tools used for geospatial data.

i) State the methods of feature selection.

j) List any two libraries used in Python for data analysis


Q2)Attempt any FOUR of the following:                                [4x2=8]

a) Explain any two ways in which data is stored in files.

b) Explain role of statistics in data science.

c) Explain two methods of data cleaning for missing values.

 d) Explain any two tools in data scientist tool box.

e) Write a short note on wordclouds.


03) Attempt any TWO of the following:                                [2×4=8]

a) Explain data science life cycle with suitable diagram.

b) Explain concept and use of data visualisation.

c) Calculate the variance and standard deviation for the following data.

X : 14 9 13 16 25 7 12


Q4)Attempt any TWO of the following:                                         [2×4=8]

a) Write a short note on hypothesis testing.

b) Differentiate between structured data and unstructured data.

c) Explain data visualization libraries in Python..


05) Attempt any ONE of the following:                                         [1x3=3]

a) i) Define data science.

ii) Explain any one technique of data transformation. 

b) i) Write any two applications of data science

ii) Explain any one type of outliers in detail.



THANKS!!!

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