Q$\mathrm{.}1$: Write down the profile of a Data Scientist. Search through the website and draw a block diagram of a data science project.

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

Answer:

Q$\mathrm{.}2$: Download a $.$CSV file from the internet and answer the below questions: $($C$2,$ CLO:$1\mathrm{.}1,2$ Mark$)$

i$.$ What is the URL of the website?

ii$.$ What is the file name?

iii. What are the features of the dataset?

iv$.$ What are the data types of the field?

v$.$ Write two insights you can draw from the dataset you downloaded.

Answer:

Q$\mathrm{.}3$: Why is data noisy? How to clean it$?$ Give one example 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:$2\mathrm{.}1,2$

Marks$)$

i$.$ min$-$max normalization

$2004000600008000001000000$

Answer:

ii$.$ z$-$square normalization $2025304050$

Answer

iii. decimal scaling

$10012341456765886540236785$

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

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

Marks$)$

$121422251028629578120$