hey everyone welcome to the session by
intellipaat I hope you guys had a
beautiful day and in this session we're
gonna check out the Future scope of data
science well ladies and gentlemen before
we begin with this session make sure to
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so on that note let us quickly check out
the agenda for this session we will
start out by having a quick introduction
to data science post this we will
understand what a data scientist
actually does and after understanding
what a data scientist does we can
directly relate it to all the concepts
and the future trends that are being
portrayed in today's world and after
this we can check out the amazing
average salary of a data scientist and
at the end of it as always to my dear
viewers I have a surprise at hand for
you so make sure to stay till the end of
the video and of course I'm gonna guide
you on the quickest way for you guys to
become certified data scientists well
ladies and gentlemen on that note let us
check on the first point of the agenda
it is introduction to data science well
we've heard the term data science in
multiple places when we have to talk
about it you might have a friend who's a
data scientist or or there's a person
who's an enthusiast around you or let's
say anything when you speak data science
there is a person around you who know
something about it why is this it's
because it is so trending it is the
number one job to have in the last
decade and guess what investigate as
well so coming to what data science
actually is it's basically taking raw
information raw data and converting it
into something very useful converting it
into an entity which can
actually be used for some good purpose
the good purpose is to basically drive a
data-driven business all the way to
success and this directly correlates to
how a data as a raw entity can be
converted into something as useful as
information something which has value to
it and then make full use out of it so
ladies and gentlemen basically data
science is all about you know making
data a friendlier entity to work with
for the for today's world
why do I say this you will understand in the
jest one or two slides from now so when
you have to talk about why we need data
science or data science basically as I
told you is it's an amazing career path
for everyone why do I say this because
it's versatile see everything from
providing big data provisions to
accompany analyzing or doing some great
statistical analysis doing data
visualization whatever it is right from
data ingestion all the way till data
visualization every single process that
goes on in a company you can be one part
of it as a data scientist that's how
amazing it is and rapid career growth
of-course I have I have to say so much
about this because when we have to talk
about a rapid career growth again data
science is the most trending one I'm
going to show you the graph of the
trends it is it is an exponential graph
and this is unlike any other career in
today's world of information technology
and product design of course are you as
a data scientist will be directly
involved with respect to your companies
or mainstream product design your
company's product channel or whatever it
is and this ensures that you know you
have a direct hand in the product that
is being manufactured that is being put
out by your company whatever product it
might be and it saves lives of course in
this world where pretty much you know we
are surrounded by a lot of diseases we
are surrounded by you know a lot of
medical ailments when you have to talk
about it the best thing I read about
making use of data science was in 2019
when pretty much there was a
breakthrough with respect to medicine
and data science in which there was a
53% probability of finding and detecting
premature breast cancer and this 53% was
a staggering number see one or two
percent jump in the world of data
science we data scientists are really
happy but then this gear is a fifty
three percent of probabilities of this
50 each percent of probability is
something between life and death so when
you have to talk about this this was
revolutionary then coming to artificial
intelligence of course this is a term
which has been around the globe for a
while now
when you
to look at it from this 1960s all the
way turn now people have been using
artificial intelligence one way or the
other for example just say hey siri hey
Google you know Alexa for that matter
all of very simple examples of
artificial intelligence and prestigious
of course ladies and gentlemen be having
a career which is number one in the
entirety of the world and knowing that
it takes good skills good certification
programs who to make sure you actually
get that this is what is actually needed
in today's world of data science and of
course you understand the value of data
science through this and it is so much
in demand that there are thousands and
thousands of jobs lying awakened across
the world because there are people there
are employers ready to hire people
irrespective of the place irrespective
of the salary provisions because they
just want skilled people to come work
for the organization and job abundance
as I told you thousands of jobs and
highly paid ladies and gentlemen the
salary figures in India in u.s. in UK
across the world it is really really
amazing we're gonna discuss this further
down this PPT and ladies and gentlemen
when you have to ask the question about
who a data scientist is the first thing
that's gonna pop up in my mind is
this person a programmer is this
programmer is this person a
mathematician or who easy well I can
tell you on very simple terms that this
person called as a data scientist is a
part is part mathematician part
programmer because they're considered to
be a new breed of data experts who have
the right technical skills to solve any
complex problem that comes through with
respect to data and they have the
curiosity to basically explore how a
different problem in today's world has
actually understood it has actually
resolved and that again is something
which is very nice as well so a data
scientist job is an amazing profile and
it is basically you know the as I
keep pushing on the same terms again the
number one role in today's world well
why is it the number one role because we
are taking the entirety of two different
concepts mathematics and programming and
we're bringing it together in the most
beautiful way
and of course as I told you there are
multiple roles that a data scientist can
go through or in a day's time the person
can be working on data ingestion in the
morning and in the afternoon can be
working on data analysis at the end of
the day can perform data visualizations
to prove that something was working
right or wrong this person can be a
software engineer or data analyst
troubleshooter data miner business
communicator can be a manager and pretty
much every other term in the IT as well
so it is very much scalable when you
consider who can get into the world of
data science and of course being a data
scientist means being a key stakeholder
in any data-driven entity because at the
end of the day a data scientist will be
involved in making some top-level
decisions some executive decisions which
are of the highest level so when you
have to consider something like this a
data scientists roles a value of a data
scientist actually goes up and in
today's world no one thinks of data like
an afterthought no one thinks like ok
let us work on our organization and
let's look at data later no data is the
reason for the organization's foundation
and data is the reason some companies or
drive in some monetary profits as well
and if you have to talk about what is
trending in today's world of data
science well ladies and gentlemen here
is a Google trend chart for you guys
like all the way back from 2013-2014
till 2020 and beyond you can look at the
the dip and the rice well the dip is
very much meager when you have to talk
about the exponential increase in the
amount of interest that people have been
showing through for data science from
the past couple of years well this graph
is a solid numerical and analytical
proof that data science has been one of
the top career choices for people
across the globe mostly and you know
considering their interests as well so
what is data science changing in today's
world well let me tell you a lot of
workforce skills and data quality
barriers are being removed because you
know you don't have to have a human to
perform quality checks anymore there are
machines there are machine learning
models deep learning models artificial
intelligence neural network models or
whatever it is and these models
pretty much are there right there to
understand what skills are needed by the
workforce and if they are not as
optimally skilled as its required then
pretty much there is a machine learning
model standing by to do a better task as
well so this again is one of the most
important trends in today's world and
then when we have to talk about it there
is so much of design complexity that the
rise of artificial intelligence can
bring us see the first use of artificial
intelligence in the modern world was
probably in a very small use case such
as a chat bot the first for the
people who have owned the very early
iPhones when Siri was launched you guys
will know that that was a little bit of
artificial intelligence now across the
world we have smart cars which can drive
itself of course there are there are
laws which govern a country or any
nation to not have cars driving on its
own completely that's why you do not see
an autonomous taxi it's just yet but
Tesla the manufacturer Viva via we had
smart cars from Google and multiple
other people as well so their car is
actually capable of being completely
autonomous and not requiring human and
intervention at all but of course due to
the bylaws they have to have human
intervention but ladies and gentleman
you get the point so this drives a
design complexity to a very higher level
and if you have to talk about AI into
our daily lives as I told you think
about Alexa think about Google home and
think about Google Maps and everything
around you see even watches have become
smart these days so everything around
you has become so the artificial
intelligence in our life has been so
subtly integrated that we don't notice
it's there anymore because you know
there is a time when computers used to
take an entire floor space Worth and now
we carry a we carry something called a
smart phone which is probably a million
times faster than those computers of
those days so AI is actually playing a
very key role in - you know deploying
low-power and low-cost devices and
injecting itself directly onto this to
help our people achieve their tasks
then if you have to talk about handling
a large amount of data well of course
ladies and gentlemen there is petabytes
there is exabytes worth of data
generated every hour every day and
there's petabytes worth of data
generated every single second just by a
couple of organizations as well so most
of the fortune favorite companies work
on data data is their center and
everything is revolving around that and
when you have to consider talking about
how much our data comes through again
you know consider walking into or into a
laptop showroom consider walking into
your nearby computer hardware store
you're picking up a two terabyte hard
drive terabyte hard drive basically and
you understand that storing data is very
expensive so people have to find the
most efficient way to store it but if
petabytes are being generated every
single second how do you store this
amount of data right this is a challenge
to the data scientists across the world
and handling this data it's not about
it's not all about storing let's say
there's a billionaire who can afford a
million hard drives but that's still not
solving the issue handling this takes
superior skills and of course if you
understand to handle this there can be a
huge progress in organizations unlike
anything else ladies gentlemen yes
unlike anything else if one understands
how to handle data in today's world it
is considered that data is the new oil
that is how much value it has so one
understands this then pretty much that
person can conquer a lot and of course
if you have to talk about data privacy
data privacy in today's world is the
biggest concern ever when it comes to
people putting their information out
there on the internet there are people
who are you know hiding their cameras on
the smart phones hiding the what do you
say have cameras on the webcams on the
laptops and basically they are unwilling
to use online payment services just
because they're scared that people might
actually steal their data well you know
with with respect to data science there
are multiple data protection laws which
have been and forth enforced in 2019 and
even 2020 and beyond as well so what
this does is it ensures that you know
data scientists work very closely with
the companies to ensure that the data is
very safe the when you have to consider
new developing new methodologies when
you have to consider putting new
and new trends across the board and
ensure that these new tech and trends
actually are supportive of the bylaws
and they stand by the bylaws this is
very important and guys if you have
been following the internet for a while
now you will understand that companies
can not misuse the data companies cannot
be responsible when it comes to data
because you know there are lawsuits
ranging from the millions to the
billions and of course when people are
concerned about the privacy for example
Facebook's
example of data leakage when it comes
something like that they can be dragged
into a civil court where pretty much you
know a trial can go on to understand why
data was being misused by a malignant
source and of course ladies and
gentlemen this is a concern to today's
world but of course do not worry because
with the latest data science are things
with the data with the latest trends and
technologies this is all going to change
and of course it has been changing for a
while now and when you have to talk
about data science as an evolving entity
well as I told you it is the most
promising career path of this decade it
was the most promising career path of
last decade we have seen an exponential
rise and we know it's gonna rise for the
next ten years as well and people are
actually jumping on the trend train very
early right from 2010-2011 all the way
to 2020 we've had millions of people
jump on the data science time and they
have been the happiest people across the
globe because data science right now it
can be very meager with when you compare
to data science five years from now
because there is going to be exponential
changes in handling data in
understanding data and working with it
at the same time because this as a field
this as a different entity is something
alien to the world of for slow-growing
or IT concepts ladies and gentleman of
course I forgot to mention guys if you
have any comments make sure to head down
to the comment section below and do let
us know our team is standing by to
answer all of your queries you even if
it's something really or simple you know
if you have a suggestion if you have a
video request or whatever it is make
sure to put them down in the comment
section below and we'll be more than
happy to help you out and of course
talking about that exponential data
growth that have been telling you guys
about well look at this these this is a
zettabyte we spoke about hexa bite we
spoke about petabytes and
terabytes and whatever it is but when you
come to talk about zettabytes
well zettabytes are out of this league
ladies and gentleman look at the number
from 2010 pretty much all the way till
2025 it is 175 zettabytes and of course
one zettabyte is pretty much you know
one in power twenty-one pretty much
bites guys 10 power 21 that is 10
followed by 21 zeros bytes of course when
you talk about this lady since element
do understand the problem of today's
world even if you have to talk about you
know gigabytes it's 10 power 12 guys so
this is something very concerning very
alarming to today's world again from
2010 we had pretty much what like 1
zettabyte and now we have look at that
growth chart so you understand you get
my point this is the size of the global
data sphere this is this is the
systematic proof that the world is
putting out way too much data and if you
have to talk about virtual reality of
course
ladies and gentleman machine learning
deep learning concepts of artificial
intelligence are ensuring that we bring
virtual reality we bring augmented
reality together we have the microsoft
hololens if you guys know about the
product and we have multiple other
products as well who and product
providers who are developing who are
doing research constantly to ensure that
they can bring a more real surreal
experience to today's world one thing
which i am a major fan of is the use of
virtual reality and augmented reality in
the field of medicine because
practitioners can actually practice on a
virtual human body than a real one and
and i've heard it is pretty a surreal
experience as well so not only just that
i mean i am a fan of data i science and
artificial intelligence in the field of
medicine especially but again when you
have to talk about all the domains there
are millions of other domains there as
well and if we do have to talk about
blockchain technology ladies and
gentleman everyone here I am sure has
heard the term Bitcoin at least once in
their lives because you know Bitcoin
works on the principle of blockchain and
measure of many many other
cryptocurrencies like Bitcoin as well so
they use the concept something called as
Ledger's
and lasers make sure that your data is
not lost they make sure that your data
cannot be pretty much into changed as
and when it's wished and this brings out
direct data security measures and there
are multiple fast methodologies which
are insured which are put into place to
ensure your data is secure your data is
fast working with it and pretty much at
the end of the day this directly equates
to data handling it directly equates to
better data growth in fact like I want
to say exponential data growth because
we've seen the growth we've seen the
rise and fall of Bitcoin as well so
Bitcoin is not all of blockchain but it
has a very major part of blockchain so
blockchain is actually more than just
Bitcoin ladies and gentlemen but bitcoin
is a very good example to tell you guys
what it's all about then if we actually
have to consider the average salary of a
data scientist ladies and gentlemen take
a look at the screen a data scientist
will get a payoff over 132 American
32,000 American dollars and in India
it's 18 lakhs per annum and in the
United Kingdom it's 65,000 pounds and
this number is basically an average by
considering the lower threshold and the
higher threshold so this is a median
salary so you know you might get a
salary two times the number that you see
on your screen right now even as an
associate data scientist because that
ass happened we do have people that we
know who actually get numbers which are
very very higher than this particular
numbers we are showing on the screen but
again to keep it to two all the you know
viewers we have to give you the average
numbers and not just numbers of one or
two people and of course these people we
spoke about would highly skilled they
were certified and they knew what they
were doing as well so that could be one
of the reasons for the high pay so
coming to my final thoughts on this
particular presentation so basically
this is one code by a person called as
Andrejs Dunkeis which I absolutely love it
says it is very easy to lie with
statistics but it is extremely hard to
tell the truth without it so you can
pretty much lie about something and just
put up saying hey this happened and that
year and this statistic proves it but then
to tell the truth without having numbers
to back you by that is very difficult so
let's say you can say one plus two is
equal to three but then if you do not
understand how one plus two equal to
three then that's it it doesn't call for
it to be the truth
so I just gave you a very simple analogy
but think about it so you need numbers
to prove the statistic behind truth or
false and of course this is one of the
most trending jobs in today's world
ladies and gentleman I can tell you this
another 100 times and I know you guys
value how trending it is and I know you
guys are very curious to jump on this
trend train of course and that brings me
to the session of further learning where
we discuss about how we can get you more
information so ladies and gentleman this
again another quote which I absolutely
love and investment knowledge always
pays the best interest is a very strong
core despite Benjamin Franklin and it
holds very strong today as still the day
he said it so if you are you know
looking for more information more videos
or more topics make sure to check out
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know in fact millions of people across
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you know we get people who ask questions
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likewise as well so make sure to check
out the in intellipaat's community as well so
on that note ladies and gentlemen I
present to you the in intellipaat's data
science architect masters program and
this program has been curated
with respect to the industry giant IBM
and basically this is in Intellipaat's most
revered course we have almost 10,000
learners here and this data science
course will basically make you ready to
become a data scientist because you know
you'd be learning everything data
Sciences Python data science with 'R'
Hadoop developer admin testing analysis
Apache spark Scala deep learning tableau
data science with our SAS or SAS as it's
called SQL MongoDB ladies and gentleman
we give you 10 courses 53 projects and
232 hours of comprehensive teaching to
make sure you guys have an in-depth
knowledge about data science and of
course we have to 32 hours of
instructor-led training where there is
an instructor who is in a virtual
classroom teaching your life so if you
have any questions pretty much you can
stop the session to ask the questions to
the person and the instructor will
actually clear your doubts then and
there and you have the self-paced
version where we provide you 104 hours
of videos pretty much and alongside
lifetime access as well and it is not
just this as I've been telling you here
at Intellipaat we believe that you need
the right exercises you need the right
assignments you need the right industry
level project work exposure and of
course we give you 253 hours worth
of that as well and this at the end of
the day in my opinion is what is going
to count for your resume it is what is
going to count for your personal growth
it is what is going to count for your
professional growth as well because you
know you can say that you're certified
but unless you prove it to the
interviewer that you're sitting you know
when you're sitting in an interview that
person will not know that you actually
know these concepts but if you pull it
into resume saying you've worked on
industry level projects and of course if
you can you know pretty much have worked
on it honestly and you've cleared
through it ladies and gentlemen that is
a good thing
and of course lifetime access free
upgrades to the latest versions forever
lifetime access yes and we give you
lifetime support as well we give you
24/7 technical support 24/7 query
resolution and or whatever queries you
have here at  intellipaat we stand by
you 24/7 365 days of the year to help
you out and of course you're gonna get
the global industry recognized
certification at the end of the course
upon course completion and we give you
job assistance through
our 80-plus corporate tie-ups as well
and if you guys have some sort of
limitations with respect your timing if
you have a day job you're a student or
whatever it may be pretty much you know
we give you flexible scheduling so make
sure you call us on the numbers given on
the screen right now and does an email
ID there as well sales@intellipaat.com
so make sure to reach out to us
and we will give you a customized
solution that's going to work best and
of course if I have to talk about the
courses we give you the online
instructor led courses for data science
with 'R'  Python for data science machine
learning AI and deep learning with
tensorflow Big Data Hadoop and spark
tableau desktop ten data science with
SAS and we have self-paced courses for
advanced excel MongoDB and mssql as well
so basically we have other questions
such as what will you learn in this
program who should take this up what are
the prerequisites of the course of
course there are no prerequisites for
this course because it's an end-to-end
comprehensive master's program which is
going to guide you on your path to
become or data scientist and data
science architect ladies and gentlemen
so if you have to come directly to talk
about the course content here you can
actually download the entirety of this
curriculum by just clicking on this
download curriculum button and you can
have a detailed look at it but let me
just walk you through one or two of
these curriculum to ensure that you guys
are up to speed well of course
we do give you a sample videos you can
check our sample videos per module to
understand what you're going to get when
you pick up the course for example this
is the introduction to data science with
'R' you can check out what is taught in
each particular module of each of the
courses we have ten courses and you can
check out the hands-on exercise of that
particular module of that particular
course as well so ladies and gentlemen
you will get to learn a lot and I'm just
scrolling through just one particular
course and you have projects as I told
you or industry level projects this is
for example a inventory management
domain we have pretty much a credit card
fraud detection project all the way from
the banking domain from the government
sector ladies and gentlemen these are
projects you know again five six seven
so I just picked up a couple of case
studies and projects just by scrolling
down in one module you know one course
so if I have to go on
for all you know Python for data science
machine learning artificial intelligence
big data intensive and I can go on and
on and you guys pretty much get the
picture that I'm trying to convey to you
ladies and gentlemen this is an
amazingly put together a very structured
program which is going to take you from
being a beginner all the way till an
expert for example here's a learning
path that you can take a look at see
you'll be starting by checking out and
understanding Excel and mssql followed
by that at the sixth week data science
at our twelveth week fighting for data
science and all the way till 16th week
you'll be checking out all the big data
methodologies for example Apache spark
and Scala 24th week AI and deep learning
you'll be developing right into the
depths of data science and of course
data visualization is something
important because you'll be learning
tableau desktop 10 and it is asked
around the world for a data scientist
skill set as well and we have SAS and
Hadoop developer certification training
so all the way from Excel and crossing
through 34 weeks of amazing learning
ladies and gentleman at the end of it
you will be called as a data science
architect master yes
data science architect master it's not
just the certification that you can you
know pretty much use for your learning
this certification can help you clear
multiple exams out there for example the
CCA 175 examination the cloud or a spark
in Hadoop developer examination yes
tableau desktop qualified associate exam
yes SAS certified based programming exam
yes as the c100 Developer exam which is
basically the MongoDB certified
developer associate Microsoft 70 76177
62 SQL Server
certification examination so yes ladies
and gentleman six comprehensive
examinations can be cleared with one
course and of course at the end of it
you will be awarded with a certificate
which looks like this from IBM and
pretty much all ladies and gentlemen
this certificate is very highly valued
among our partners and there are
multiple corporate or tie ups there are
multiple IT companies who prefer
students or learners who have been
certified by intellipaat  because they
know the quality of teaching that goes
on here that certificate will pretty
much you know help you through attending
interviews and the pretty much standing
out in companies like Cisco Cognizant
Mu sigma
more TCS Genpact Sony hexaware
Ericsson and other companies as well and
if you keep scrolling down ladies and
gentleman you can check out the
comprehensive reviews and testimonials
that our dear learners leave to us as
well and of course after this we
understand and we know that you might
have more questions in your mind so here
is a completely detailed curated FAQ
section frequently asked questions where
you can pretty much get answers to most
of the questions but of course even
after this we understand you might have
more questions in your mind as well so
just before that let me fulfill my
promise ladies and gentlemen here is the
promise here as a surprise make sure to
use the coupon code YOUTUBE30
in caps and 3-0 numeric to
ensure that you guys will get a flat 30%
off on all of the courses we sell here
at Intellipaat ladies and gentlemen it's
a fresh decade it is still march of 2020
and this decade is going to be a huge
breakthrough in the world of information
technology so make sure you jump on this train this is the right time to upscale
yourself and when you do it right it is
going to pay really well because I
showed you the average salaries and you
know what you what is the outcome of it
already so what are you waiting for
ladies I'm gonna make sure to jump on
this make sure to make and get the best
of any ID concept that you want to
master and you have as your goal as well
and of course
on that note pretty much ladies and
gentleman you have reached the end of
this session if you have any queries any
suggestions or anything you wanna tell
us make sure you head out to the comment
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seven days of the week 365 days of the
year to help all our dear learners out
on their path to success
in the world of information technology
on their path to glory if I may so
ladies and gentlemen on that note I wish
you all have a beautiful day ahead and
I'm more than excited to see you on the
next one
