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 a 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 the main prerequisite in any job description in the field now.
If you feel you need to strengthen your data science skillset 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 a 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 dropping 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 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 resumes like the 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.