KINGDOM OF SAUDI ARABIA $|$ JAZAN UNIVERSITY

COLLEGE OF COMPUTER SCIENCE & INFORMATION TECHNOLOGY

$2023-2024-$ SECOND SEMESTER

Course with code Introduction to Data Science $$ ITEC $313$ Section $1600$

Type of task HOME ASSIGNMENT Marks $15$ Assignment

$5$ Q n A

Date of Announcement $7-12-2023$ Deadline $14-1-2024$

Student$\_$Id Stu$\_$Name

Q$\mathrm{.}1$: Write down the profile of a Data Scientist. Search through the website and describe any Five tools$/$programs used for Data Science projects which are not mentioned in the Course material slides. $($C$1,$ CLO:$1\mathrm{.}1,1$ Marks$)$

Answer:

Q$\mathrm{.}2$: Write about CSV data storage format with an example. $($C$2,$ CLO:$1\mathrm{.}1,1$ Mark$)$

Download a $.$CSV file from the internet and answer the below questions:

What is the URL of the website?

What is the file name?

What are the features of the dataset?

What are the data types of the field?

NOTE: Same datasets should not be used to answer this question.

Answer:

Q$\mathrm{.}3$: Why is data noisy? How to clean it$?$ Give three examples other than the one mentioned in the slide. $($C$2,$ CLO:$1\mathrm{.}1,1$ Mark$)$

Answer:

Q$\mathrm{.}4$: Scale down the given data using given below data transformation methods.

$($C$2,$ CLO:$2\mathrm{.}1,3$ Marks$)$

min$-$max normalization

$200040006000900012000$

Answer:

z$-$square normalization

$200060008000100001400015000$

Answer:

decimal scaling

$353274586520745489742$

Answer:

Q$\mathrm{.}5$: Calculate the mean, median, mode, range and IQR for the given dataset.

$($C$3,$ CLO:$2\mathrm{.}1,2$ Marks$)$

$12142337142246783572$

Answer:

Q$\mathrm{.}6$: Calculate the sample variance $($s$^2)$ and standard deviation $($s$)$ of for the given dataset. $($C$3,$ CLO:$2\mathrm{.}1,2$ Marks$)$

$121518253548$

Answer:

Q$\mathrm{.}7$: Apply Pearson$$s r correlation in the $$Running on Treadmill $-$ Calories Burn$$ dataset given below and draw the relationship between the two variables.

$($C$4,$ CLO:$2\mathrm{.}2,3$ Marks$)$

Running on Treadmill $($minutes$)$

$($X$)$ Calories Burn

$($Y$)$

$40200$

$30178$

$2045$

$1555$

$1025$

$845$

$522$

Answer:

Q$\mathrm{.}8$: Refer to the following dataset regarding the student$$s attitude and scores in the examination: Here, attitude is the predictor variable, and the score is the outcome variable calculated from attitude. Using linear regression, predict the score of a new student with an attitude value of $79.($C$4,$ CLO:$2\mathrm{.}2,2$ Marks$)$

Given that;

Pearson$$s correlation coefficient r $=0\mathrm{.}94.$

Standard deviation: $$Sd$\_$x $=3\mathrm{.}10,$Sd$\_$y $=22\mathrm{.}80$

Mean of y $=159$ and x $=70\mathrm{.}6$

Table: Attitude and score data

# Attitude Score

$165129$

$267126$

$368143$

$470156$

$571161$

$672158$

$772168$

$873166$

$973182$

$1075201$

Answer:Q$\mathrm{.}1$: Write down the profile of a Data Scientist. Search through the website and describe

any Five tools$/$programs used for Data Science projects which are not mentioned in the

Course material slides.

$($C$1,$ CLO:$1\mathrm{.}1,1$

Marks$)$

Answer: