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
