hello everyone Ken here back with
another data science video for you today
I'm talking about how to get data
science experience without necessarily
having a data science job I see a lot of
people in different forums and in
different groups that I'm a part of
talking about how they have the
necessary skills but they don't
necessarily have the experience needed
that a lot of jobs are looking for so in
this video I'm speaking to things that I
know can look good on a resume and that
can perhaps substitute as some real work
experience if you stay tuned to the end
I'll give you my number one best
resource for getting data science
experience and as usual if you enjoy
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that I publish if you're in school which
many people in this situation are I
really recommend looking at research
opportunities within your University
this looks great on your resume it gets
you close to a professor who can perhaps
act as a mentor and give you a
recommendation it also gives you you
know proximity to real-world data
science or machine learning projects and
if you get published
that's another feather in your cap so I
would explore all the opportunities here
you know there's the potential that you
also make money from this and that you
have maybe some tuition reimbursement so
there's a financial benefit of this
Avenue as well the second thing that I
would recommend is working on personal
projects I harp on this a lot and I've
made multiple videos about this that
you'll see above and this shows a couple
things it shows that you have interest
in data science it shows that you have
initiative and if you can potentially
make money from some of these projects
or get them published or get some
notoriety around them that looks really
great on your resume to me that is
real-life experience especially if other
people have eyes on them if you're just
doing this for yourself and
you know you can talk about it but you
don't share it that doesn't hold the
same weight as having a project that you
socialize and you get feedback on
because in the real world when you're
working you're always showing your
projects and your work to other people
and you're always getting feedback
criticism and you know occasionally
praise associated with them so I would
make sure if you are doing projects that
you're comfortable with the work and
you're finding a medium to share that
I've shared projects on YouTube
obviously I share some of the work that
I do on medium and also on github so I
recommend not necesary of those sources
but at least make sure that your
projects are put in a github repo or
whatever get repository the ease going
back to the school concept or for the
people who are in school either in
undergraduate or graduate another way
that you can simulate real work
experience is through your schoolwork
schoolwork is graded and it has a
somewhat similar feel to your work in
the real world you can show potential
employers what your grades were you can
show them what the project was and again
that is in a way a little bit social
especially if you're sharing your
project with the class so you know when
you get kind of further along in data
science courses you usually have the
opportunity to work on a project through
the course that is largely if you're
choosing I recommend you choose a field
that has some of the qualities related
to a good data science project that I've
talked about before and to make sure
that you you know you you really do a
good job you are able to articulate what
the schoolwork is about and you know if
you get a good recommendation or high
marks from your teacher
absolutely hyped that up on your resume
or in the interview process the next
thing that I think is important to point
out the next type of work experience
that you can get is an intern
so that is very close to a real job but
there's some pretty stark distinctions
so an internship is a lot easier to get
than a full-time job and you don't
necessarily have to be a student you
don't necessarily undergrad a grad
student to be able to get an internship
if you really want to get into the field
there's a chance that people will take
you even if you're a couple years out of
school because they're getting someone
who might be more polished at the intern
level there's a couple internships that
I did in between grad school because I
wanted to learn some new skills and I
think that this is a completely viable
approach you know especially if you are
in undergrad or graduate student this is
even better for you because they carve
out time we even potentially get credit
for doing internships here another
benefit of internships is that they
usually pay you and in the data science
field they generally pay you pretty well
so it's nice to have maybe a little
extra beer money on the weekend from an
internship opportunity another area to
gain work experience that I really like
is up work or any of these contracting
websites you probably have to set your
rate to be pretty low to make an impact
but or to get potential clients but you
can show your portfolio you can show the
things that you've done and again you
can make money from this this is a
hundred percent real world experience
and if you can get some exposure to that
there is you know a couple added
benefits associated with it so the first
is you get the experience of working the
second is that the employer or whoever
you're interviewing with knows that you
have the initiative and the sales
ability to actually win a client winning
a client is a really hard thing to do
you know I do a reasonable amount of
consulting and I know how hard it is and
and how important it is for us to get
new clients that's a long process but
it's something that's very worthwhile if
you could do it the ability to to sell
yourself to sell a project is extremely
important in data science
by doing contract work you can show that
to any potential new employee employer
now my number one most recommended way
to get work experience in data science
is to do 100% free work for a real
client a lot of people will not turn you
down if you're offering a free service
and you have a well-thought-out project
you know you can talk to people within
your network you can talk to nonprofits
who are always looking for this type of
work and I think that is a great way for
you to learn skills to put something on
your resume and to help you know a
greater good help help a good cause
employers love to see when people are
charitable when they're when they're
working for nonprofits or working with
nonprofits and again that is another
kind of kudos to you that they will see
that will really help you going forward
now this again does take a little bit of
salesmanship it does take you going out
there and introducing yourself and
meeting these people and you know it can
start us free work but it can eventually
turn into paid work or even a full-time
job so don't think oh I'm doing this for
free like my skills are you know they
actually being paid infinitely more than
this it is planning the seed for
something bigger and that's what all of
these things are you're planning a bunch
of seeds and your projects and your
internships and any of the pro bono work
that you do to create a great
opportunity for you going forward so
with that in mind thank you so much for
watching this video I really hope it
helps and good luck on your data science
journey
