So i am a student, I study biotechnology
I'm from Greece i live in Athens
Oh cool!
um I haven't applied. That's a bad story but I haven't applied yet for a job
But I would like to do it! I would like to do it
But I haven't. How do you propose to start?
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DataLeap! Thank goodness you're here because today i have an important announcement
today we're going to start to understand where the DataLeap community is coming from
And that's going to involve helping you
get to know your peers: your DataLeap peers
if we haven't had a pleasure meeting yet my name is Andrew from DataLeap and
this is a channel where we are talking to academic students and professionals
sick and tired of their industry and wanting to move away
into data science: an industry that pays six figures in the baseline here in
silicon valley california today is your inaugural chance to meet
your data lead peers and you are going to talk today
to Rea: she is a student working in Athens, Greece and she has been an
aspiring data scientist and she came from the world of
bioinformatics if you want to see how other data
scientists have transitioned through that field i have an interview with the
Data Professor himself a professor of bioinformatics but today
is all about Rea so let's move into our interview and see what she
has to say thanks for staying all the way to the
end in advance peace how's it going good to meet you my name
is Andrew um i am a educator on youtube i'm a data scientist
here in silicon valley and a coach and a mentor
i've had 30 different interviews here in this space and
competing offers every single time i move from industry to industry
hedge funds to startups to fame companies and now i
have i have a feeling in the pandemic there are people that want to also get
into this space so i'm here to answer any questions you might have
nice to meet you Andrew so i am a student
i study biotechnology uh i'm from greece i live in athens
oh cool you had santorini santorini yes i love this i love greece
yes so i am a student and by accident i learned about data science
trying to do my final essay um i had some protein sequences to analyze
and i wanted to find the sequence of its
amino acid in sequences and i tried to do
it with r and i realized i was trying to do something like data
science i started to watch youtube videos
i found candy i became part of the 66 days talent
and now i i'm learning python i didn't didn't know where to start
and i started on learning python and i have almost finished the
the course on the game oh awesome the entire thing
so um python pandas visualization intro to machine learning now only
python oh okay well that's a great that's a fantastic
foundation i love your story it's very similar to data professor
he also comes from a bioinformatics background so you have
had you went from r into python and now you've almost finished the kaggle course
so in the beginning what were your questions about starting to learn data
science like you probably wanted to know what kind of
language to learn first or what kind of methods to learn
what how did you get them answered on youtube yes
and i i am the first uh question i had is uh what language to learn
okay i had a small background on art because i tried to found find out
some more details on our due to my final
essay in university and also a professor of us introduced us
to our like something new a new language for
biotechnologists okay to use so i had a small
introduction on that and then i watched the videos yours and
kentes saying that no matter what language you
choose it's okay uh so why i
passed from r to python only by a chance the first day of data of the talent
i tried to open a ndx course on on r but for some reason i
couldn't start the course so i said okay i live up r let's see what python is
about now it's the time my luck
shows me another way so i started the python
uh kp seems a very good platform and um i started like that way awesome
do you like python more now now that you've had a little bit more experience
uh i like r but python helped me understand a lot of things
on objects like um and the rivals i think it's the right part yes
and on how the basics of uh programming i think
they are was a little bit easy for me so i started
with um with commands on tables on graphs
and i didn't have a background on basic in for how to say programming
like loops and strings um i
i have a question so when you started moving from bioinformatics to more data
science related work what are your goals now in
terms of finding a job in data science or working
in greece versus the us versus some other part of the world
what would what would be your your future goal in terms of career
not since you're a student currently
um i'm a senior student so i'm starting to getting
into the the thoughts of my career um i i would be very happy if
i could do data science on biological data
yeah so my goal is to refresh my statistics
and build my programming skills and finally do a
data science on biology subjects okay that's that's awesome do you want to
continue to work in greece or do you want to work somewhere else
i would like to stay in greece if i could do a long distance work like
staying in greece and work for a company abroad
it would be nice to yes the world is getting a lot smaller
and remote work seems to be the case for everybody here
almost i have at least half of my friends
moving away uh which is uh kind of interesting because they only plan to
leave for the end of the year maybe half of
next year because when the who knows the
uncertainties in the world right now but yes remote work is really easy right
now um how are you applying to jobs at the moment like do you uh are you
still looking into internships or academic
opportunities or are you going on linkedin glassdoor
and other another job aggregation places like that
i haven't applied that's a bad story but i haven't applied yet for a job
because i would like to do it i would like to do it but i
haven't how do you propose and start yeah i will send you some resources uh
because the main point of creating a linkedin network
is so that when recruiters are using their search engines because they're
they're trying to automate that process so they don't have to
manually try to find every uh viable candidate they will be able to
pick up your profile with some search engine optimization
right you want to be able to have enough connections one which is a big
feature in that model but at the same time you want to also be able to
start building a a creative space for your thoughts and your posts so
linkedin is kind of linkedin in 2020 is basically youtube in
2016 or 2018 where it's a lot of creators are already
there but it's very easy to grow and start
building a profile so i guess supposedly it's starting to
become like facebook where people just start posting random stuff
but you can still build very informative pieces especially since you have a niche
in bioinformatics you can post about your biology datasets and
and other things that you've connected with maybe indeed a professor's
channel and his resources the second thing is i really recommend getting an
angel list profile which is a website that connects you with
smaller companies but they can still range from anywhere
from less than 10 people to more than 200 people
so these companies need to outsource their hr and recruiting efforts to this
company which allows you to have a easy head
start when putting your resume to the top also
the if you've ever used linkedin's easy apply feature
on angel list every single job is easy apply so it takes very little of your
time and it has big results in fact i've
gotten a job on angellist right yeah there's a lot of information
but i'll send you an email with all of it later so that you have it all
but in terms of the next steps from standing out for
for data science roles specifically i think it would be great to start
working on a project where you scrape your own data
and that that might be more difficult for biology based data sets because
financial data sets there's already i'm actually going to come out with the
video soon maybe i've already come out with it
with um you know you can get new york stock exchange data
from a pandas library in less than three lines of python
so that's something that is already exists in the real world and of course
you know hr and glass or data is already exist in the real world
biology data sometimes has a pay wall or some sort of difficulty in terms of
scraping but i would recommend Ken Jee has a great
playlist on building that out from end to end and i
can send you that unless you've already watched it it's where he scrapes some
glass door data i i have worked i have walked apart but
i would like to receive yes and like Ken Jee
says building projects out is the best way to
learn you you start building a project you have
the reasoning behind learning more skills
and so starting a youtube's channel was a big reason why now i know how to edit
videos i know how to be more patient and slower in my public
speaking it ends up being a project in each
specific video and so that's just like my next step in
the data science world i suppose um i i think i'm a beginner i don't know
if i could do a whole project but as soon as i start is the better yes so
and i'm happy to walk you through in case you had any questions on the code
um as you start that project or start any kind of project similar to that
i think that would be really helpful since you're starting your last year of
school uh this is the time to have a capstone
project a pinnacle project at the in your pocket
when you talk to recruiters um if i get if i may i would like to
open it up to any questions you might have
uh at the end of this call like anything that you
have are curious about or any kind of resources i can point you to i'm happy
to answer any questions about the data science world or about data leap or
about myself so i i think uh if i um
when i finish now i'm finishing the python part
okay yes what can i do next except from a project on some data
great question so i outline what to do next after the python kaggle course on
my zero data science bible video with data
professor i write out exactly what you do for the
first seven days of your data science journey
which is the python kaggle course and then for the next 14 days there's
the data visualization and the pandas courses on kaggle
that is a good foundation because it builds directly on
the python you've already learned and then you move on to intro to machine
learning and advanced machine learning methods on
the same kaggle course if you've completed that entire kaggle
course i would start building out your sql and python
algorithmic training which you can find on lead code and
hacker rank for free and i'm happy to send you those
resources as well if you can do one lead code or one hacker in question
a day that'll really help you start building out
your skills in terms of drilling the speed at which you answer these
questions because ultimately employers and technical interviewers are
going through looking for how fast you can answer these
pretty mundane logical questions which means that
you're they're not going to be relevant to your job but they are going to be
relevant to whether you get the job so that's why you have to start training
your sql in python speed asap
great thank you no problem any ques any other questions
um also to um to refresh my statistics
uh knowledge and you have some platform to propose for
this that's a great question so in terms of statistics
i would say being able to understand the the very basic of bayesian
statistics ending uh causation and correlation how linear
regression differs from logistic regression uh and
then a couple of more models would be essentially all the statistics
you need but if you want to prepare for a more advanced role like a
like a research scientist role like a machine
learning engineer role then you could go on to one of my favorite data scientists
in the world which is andrew ung so andrew same as my name but ng
is his last name and he creates these really great
easily followable machine learning and statistical
math explanation videos and so he explains them at the
very advanced levels but also from the ground up so that anybody can follow
along with them
yes andrew and g like gary like greece yes andrew on perfect
um i think i don't have any more questions um
thank you very much no problem let's i want to be
updated on your progress so reya thank you for joining me
um i'm really appreciative i'm going to have you be the very first person that i
upload as part of this community initiative of learning who you
are what your journey is all about and hopefully a lot of people can learn some
interesting tidbits from the questions you've asked
and i want you to to continue uh reporting back
maybe in a couple weeks about where you are and let's get you a job
when you graduate this year perfect thank you very much
uh you you can contact me at any time i owe you an email so i'm gonna send you
all those resources i talked about and uh and then we'll get in touch soon
don't be a stranger i'm really fast on replying on youtube
and then the second fastest is discord and then the third fastest is like email
or something great okay no problem have a good day
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