welcome to this 365 data science special where you'll learn everything you need
to know to land an entry-level job in data science as one of the fastest
growing industries over the last decade data science has become an extremely
appealing career path that path however needs to start somewhere so if you're
watching this video you've got questions well we are here to give you the answers
and then point you to some extra resources that will help you prepare for
data science success we'll go over education experience skills and finish
up with a cohesive plan on the steps you need to take to start your journey as a
data scientist of course all the information is based on empirical
research statements by employers and data science and a dash of our personal
experience so let's begin shall we in previous videos on our channel we've
discussed the best degree for an aspiring data scientist to recap any
form of postgraduate degree in a quantitative field gives you a pretty
good chance of success with computer science being the most represented major
apart from an education you also need some sort of experience credentials to
your name to understand the methodology we used you can check out the article
linked in the description for reference the results suggest that roughly 35
percent of current data scientists have already had a job in the same position
which is actually fantastic whoa whoa whoa whoa but how is this good news well
the remaining 65 percent had a different occupation prior to that therefore
roughly 2 out of every 3 data scientists are on their first data scientist job in
the field therefore it's safe to say that becoming
a data scientist is a very achievable goal however don't expect to become a
data scientist right after school 2% of all data scientists started off with no
previous position on the resume this number in itself sounded suspiciously
high to us either way to land even an entry-level position you need some
previous experience elsewhere this is a testament to how demanding the position
of a current day data scientist is nowadays demanding and hard to get
but not impossible so what step should you take
according to employers and recruiters if you want to succeed in the field you
also need to know three things the tools the data and the business let's break
this down knowing the tools means confidence in
working with the most popular software on the market
those are undoubtedly athon r or better yet both with a bit lower priority but
still extremely important are SQL and visualization software such as power bi
and tableau finally it is important to note that Excel is still a main
prerequisite in any job description in the field now if you feel you need to
strengthen your data science skill set we've got you covered we've created the
365 data science program to help people enter the field of data science
regardless of their background we have trained more than 350,000 people around
the world and are committed to continue doing so if you are interested to learn
more you can find a link in the description that will also give you 20%
off all plans if you're looking to start learning from an all around data science
training okay back to the key requirements for entry-level data
scientists next up is knowing the data this means you need to understand where
your data is coming from what are the best ways to process and pre process it
and most importantly how to extract actionable insights from it therefore
you need some coding pedigree regardless of whether it's in our Python or another
scripting language the statistical and analytical skills are there to help you
understand and interpret the results before translating their raw numbers
into insights usually to land an entry-level job you don't need to excel
in all categories and being okay in two of the three is fine as long as you're
great at programming finally it's crucial that you know the business
before you apply for a job in a given company you must find out which aspects
of data science and what skills are necessary to land a position there and
by all means having market expertise in the specific
field is always a bonus so the more holistic your understanding of the data
and the industry the more well-suited you are for the position overall
employers are looking for somebody with good coding statistical and analytical
skills aren't we missing something of course
employers are achievement oriented so they're always looking for certain
transferable skills in a candidate that add value to the company taking
initiative setting challenging goals and making efforts to exceed those goals are
some examples of transferable skills you should develop interpersonal skills also
translate easily across various industries and contexts so make sure you
got that covered other highly appreciated skills in this category
include the ability to learn from experience and be the propeller of
positive changes independence self direction and accountability therefore
make sure your resume includes projects or internships where you work for others
on top of some evidence of your proficiency in coding for the full list
of skills check our free data science career guide and if you want to learn
more about what you should and shouldn't include in your resume check out our
data science resume guides links are in the description all right so we
discussed what you need to know what skills you need to have but now it's
time for the what you need to do part in highly competitive fields such as data
science who you know could be just as important as what you know this is
especially true when you're trying to break into the field and find somebody
who is willing to give you a chance even at a junior position getting a
recommendation from your previous boss or a referral for an employee of the
company you are currently applying at is a surefire way to boosting your chances
of getting hired and the tried and tested way of getting these is through
networking one good approach is to use handshake and similar sites or alumni
from your school post job ads this way you can find interesting potential
employers who you want to interact with drop them an email ask them for an
informational interview give them your details and ask specific questions about
what their company does by doing so you're making a solid good impression
because a you know or you want to learn the business and be you've done your
research sometimes you won't be able to get direct contact information through
the website so you can check out your school's alumni directory you should be
able to find at least an email a phone number or a LinkedIn profile and all you
have to do next is reach out alternatively you can meet people in the
field by going to local conferences or lectures about data science universities
and colleges frequently organize events of the sort which are often open to the
general public in addition independent data science
societies also sponsor or organize control group meetups where they discuss
the applications of des and specific fields like medicine or finance for
example just remember the more invested you look the higher the chance that
these people would want to keep in touch so try to stay enthusiastic and curious
of course knowing the right people will get you far but in most cases won't get
you the job even with a referral or recommendation you still have to go
through a job interview your potential employers can always test your
statistical skills with a written exam and your programming skills with a
remote task however you only get the face-to-face interview to present your
coherent communication skills so make sure you highlight them in the best
possible way of course data science and corporates multidisciplinary aspects of
various fields so it can't be difficult to prepare for everything that is why we
created a free booklet with the most common real-world interview questions
for DES and their answers think of this as our data science equivalent to
cracking the code albeit a little bit smaller
you can find a link to this resource in the description as well right
after explaining everything let's quickly summarize what you need to do to
land an entry-level job as a data scientist for starters you should earn
at least a graduate degree in a quantitative major like computer science
then you need to gain experience in a field tangent to data science
so a job as an analyst or NIT is a good way to go about it an internship is also
a viable option if you're still studying knowledge about coding working with data
and the line of work you're interested in is vital to so ensure your resume
showcases all of that also try to highlight some essential transferable
skills in your resume like drive for the business and ability to work in
cross-functional teams conduct some networking and try to earn a
recommendation or a referral for a specific position on a final note make
sure to showcase certain immeasurable qualities you possess like communication
skills and curiosity during the interview in our opinion doing all of
this will give you a great shot at securing an entry-level job as a data
scientist if you enjoyed this video don't forget to hit the like or share
button and if you'd like to become an expert in all things data science
subscribe to our channel for more videos like this one thanks for watching