After developing the lessons and the project, I have comfort in the ability to: >Recognize complex data-type to discover what analyses are likely. >Determine measures of center and spread to explain quantitative data. >Use a mixture of spreadsheet functionality to obtain penetrations from data. >Build charts and graphs to describe the results of our analysis >Will be comfortable posing problems that can be answered with a given dataset and then answering those subjects >Analyze a prospective dataset using Excel

1. Analyze survey Data

2. What is the most common way people find out about Udacity?
We have found from the bar chart that 69% Udacity survey
participant come from Google browser.
and other 23% reach us from Friend and word of mouth.
Facebook channel has took the 3rd place.. Rest channel is not
remarkable in tern of number.
What is the highest level of education for most students?
Masters is the Highest level of education. 42% participates have the
master degree..

3. What is the most common Nanodegree program represented in the
survey results?
Deep Learning Foundations program is first and machine
learning is the second largest position..
Is there a connection between the Nanodegree
certificate earned and job title?
Individual Contributor is the achieving most number of
degree.

4. What are the most common countries/cities
where students live?
Argentina has the most participant and then Russia
where Mexico is the third position.
How many hours per week do students spend on projects/content? Does this
differ by program?
Most understudies go through 5-6.5 hour out of every week for Udacity degree.
Then again there is variety or week by week investing energy relying upon
course. This is left slanted so media is more noteworthy than mean.

5. Are there any interesting findings regarding sleep,
commute times, amount of time sitting per
day, etc. worth mentioning? Does this differ by where
someone lives? Does this differ by Nanodegree
program or job title?
Who sleep 6-8 hours a day will in general read
more book in a year but who sleep 10 hours or 4
hours have less tendency to read.
Are there any interesting findings
regarding sleep, commute times,
amount of time sitting per
day, etc. worth mentioning? Does
this differ by where someone lives?
Does this differ by Nanodegree
program or job title?
9 years is the quartile range is
around. So we can understand that
there is variety of years in term of
experience. Right skewed tail and
where median is 6 years.

6. 05
Are there any interesting findings
regarding sleep, commute times,
amount of time sitting per
day, etc. worth mentioning? Does this
differ by where someone lives? Does
this differ by Nanodegree program or
job title?
Here the members average age is 37
and medium is 33 what's more,
standard deviation is 17 around
which implies there is fluctuation in
ages.