86

What Do You Need to Become a Data Scientist in 2019?


Hi, and welcome to another 365 Data Science
Special. This video is not here to give an overview
of data science as a super smart career decision. Instead, we’ll look into what makes a data
scientist successful in 2019! First things first – what is a data scientist? Well, the term was first used by DJ Patil
and Jeff Hammerbacher in 2008, around the same time that the words swag and chai latte
made it to the Oxford English Dictionary. It’s safe to say that while these two are
fairly easy to define, data science is a little bit harder to understand. Essentially, the field deals primarily with
data, no joke. A data scientist can take the data – small
or big – and start developing, implementing, and deploying machine learning algorithms. They use advanced statistical methods to do
predictive analytics and get meaningful insight from the data. Often, the data scientist will also dabble
in deep learning making use of the latest tech developments, such as neural networks
and the likes. Obviously, all of this requires a fairly mathematically
inclined thinking style, and a lot of programming skills. But is this all? What about their education, work history,
formal qualifications, and… of course, which industries hire data scientists in 2019 and
pay them a base salary of $117,000? Let’s reverse-engineer the data scientist
and find out! If you want to find what makes a data scientist
– think like one. We conducted a study – methodology in the
description – to find out more about the typical data scientist of 2019? At a glance, there’s a certain type of professionals
who should definitely stay on board. The domain is still strongly dominated by
men (69%), who can hold a conversation in at least two languages. They have been in the workforce for 8 years,
but only working as data scientists for 2.3 of them. They can proudly frame up a second-cycle academic
degree (74% hold a Master’s or a PhD), and do a lot more than program “Hello World”
in Python or R (73%), often both. Luckily for those, who are female, or have
not yet earned our Doctorates, the segmentation of the data tells a richer and truer story. So, you might be wondering does data scientist
imply Doctor of Philosophy? And the answer is simple. Just as the field is not impregnable by women,
so is having a PhD not a prerequisite for the position. In fact, less than a third of the data scientists
in the cohort hold a Doctorate degree (28%). This is a comparable number to last year’s
27%, which seems to entail that industry does not intentionally introduce an unattainable
degree of academic prowess. So far, so good for 2019! On the other hand, if Master’s degree is
something into which the aspiring data scientist is willing to invest time and effort, it seems
to be the golden standard for academic qualifications (46% of the sample hold a Master). In fact, we can speculate that in the future
the requirement for a second-cycle academic degree will decrease, being evened out by
data scientists penetrating the field with only a Bachelor’s. And there is already a 4% increase compared
to last year in the number of data scientists with only a Bachelor’s degree. Actually, unless you’re coming straight
from academia, having a PhD or master’s is not essential. Especially if you can land an internship (8%)
or come from an IT background (9%). What’s interesting, though is that there
a lot of other gateways to a job as a data scientist. For example, academic researchers (9%), data
analysts (13%), and consultants (6%) all have pretty respectable chances of being data scientists
in 2019! And if you are to take a look at what you
need to study to become a data scientist, you’d notice that the gateways to data science
are very many. From Economics and social sciences (21%),
through natural sciences (11%), statistics and mathematics (16%), computer science (22%),
engineering (9%), and of course, data science and analysis (12%). There was even one person who studied Law
in our cohort! That’s all super interesting but do you
still have to go to an Ivy league college or…? Actually, not at all. University ranking doesn’t seem to influence
your chances of becoming a data scientist in 2019. While a high number of the data scientists
in our research indeed come from the Top 50 universities (31%; according to the Times
Higher Education Ranking for 2019), almost as many come from universities ranked above
1001+ (24%). So, Data Science is definitely not a private
playing field for Ivy league graduates. However, one thing almost half of our data
scientists have in common is online courses. 43% of them said they have gained at least
1 certificate from an online course, with 3 being the average. E-learning is definitely a resource many data
scientists take advantage of. And it checks out – some of the best online
programs out there are dedicated to help you master various programming and data handling
skills, which, after all is the bread and butter of the data scientist. But we still haven’t talked about that,
have we? Alright, so Python (54%) is definitely leading
the pack when it comes to programming skills the 2019 data scientist needs, and that is
universal all around the world. R (45%) comes second but in UK it’s definitely
lagging behind in popularity. SQL (36%) and MATLAB (19%) also prove to be
widely considered handy, so you might want to invest some time brushing up on these,
too, if you’re considering joining the data science race this year. And in which industry should you expect to
be spending your glorious days as a data scientist? This was definitely easier to answer last
year, because the data was heavily pointing to the Tech industry as the titan hiring the
most data scientist. 2019, however, is introducing a lot more diversity
as is the trend with a lot of other things. That said, the Tech/IT industry (43%) is still
a major employer but the industrial sector is rapidly catching up (39%). What’s even more interesting is that in
the UK more scientists work there (38%), instead of in Tech/IT (35%). The financial sector is claiming 16% of the
data scientists worldwide, with UK again leading the pack (24%). No surprises here – London is (or used to
be, kh, kh) Europe’s financial capital and plenty of financial, trading, and brokerage
firms reside there. In that respect, the US stands at the humble
9%. The job market for data scientists there mostly
employs data scientists in the Tech/IT sector (47%). But perhaps the most important question we
can answer here is which location leads to the fastest career progression? Based on our data, India and the UK are the
two locations where a data scientist can thrive even with little to no experience. The States are the least accommodating to
new data science enthusiasts and prefers professionals with 3 to 5 years of experience. Well, now you know where to look if you want
to get promoted from already being in a data scientist position! So, what’s the key take-home message here? Hopefully, this video does not make you doubt
whether the data scientist profession is something you could realistically pursue. Instead, we hope to have lent a reassuring
hand. One of the main messages we extracted from
our study both last and this year, is that if you have the skill base that makes a data
scientist, you can be a data scientist. It will be interesting to see how the data
science profession changes in the next 2-5 years, but right now, a universal data scientist
profile appears to be taking shape: a unique programming language toolbox desired across
industries and locations; preferably a Master’s degree, or a Bachelor’s and proof of practical
abilities; and a confident learning-on-the-go attitude are the currencies of the field. If you are interested in a solid data science
preparation starting from scratch, make sure you visit our website 365datascience.com where
you can start your preparation and see if this is the career path for you.

Glenn Chapman

86 Comments

  1. Interesting to see what changed relative to last year's study.

  2. Pretty cool info. It's definitely a career to pursue in the present and future.

  3. What software you use to make these infographics and animations

  4. i m confused in AI, ML AND DEEP LEARNING..how should i start to learn better and better??

  5. Perfect study materials. They were very much fun to follow 🙂

  6. Hi
    I am mathematics teacher with qualifications like master in physics and bachelor in mathematics physics
    Experience of teaching mathematics is 10 yrs
    Is this career transition at the age of 35 is good with this profile?

  7. 06:23 So what are these % values for Python, R, SQL, MATLAB etc? Market share? % of total developers using the said tools? They don't add up to 100% so they aren't subset of same data. Kinda confusing.

  8. My boss says I should really look into this field but it sounds intimidating…

  9. Jesus Christ why do people keep mentioning women as someone that’s like a handicap? Who gives a crap if the pace is predominantly male. I don’t want to work with a coworker that thinks they should praise for something they were born with. If you’re a male or female and CAN do the work then that’s ALL there is to it. You shouldn’t get special treatment for something you are born with. Seriously, fuck this shit of pandering to women. Women never complain about getting jobs in hard labor.Women can eat sleep and drink just like men. They don’t need no pat on the back.

  10. Learn Data Science for free
    https://www.youtube.com/watch?v=pAXm75tHj6c&t=1348s

  11. One person that studied law in the cohort, and he/she accounts for 9%? I think you might have a too small sample to abstract meaningful conclusions from.

  12. Learn Data Science for free
    https://www.youtube.com/watch?v=pAXm75tHj6c&t=1449s

  13. I have 60+ certificates in data science from dataquest.io,coursera,udemy and datacamp.com but no academic degree as I am a college dropout. What are my chances of getting a job?

  14. This is a bullshit job. Most people can do it taking a three month course on udacity, in anywhere creditable.

    But that doesn’t mean companies will hire you tho if you don’t have a degree.

  15. I don't have IT background. Do I have a chance to become a data scientist?

  16. I've a bachelor's and masters in media studies which comes under the school of humanities. So does that mean I cant switch to data analytics or become a data scientist?

  17. I'm doing a third year diploma for mathematical science so can I become a data scientist

  18. Data science is overrated and too much hyped. It's like the days everyone wanted to become a pilot. Look at this field now. There are too many pilots. Not only most of them are unexperienced but also most are not needed. Don't become a data scientist because it sounds cool or because it is going to be highly asked. Do it because you want it. Do it because it really is the thing you want to do and you are sure you can provide high quality work. The competition will rise, therefore the requirements for a job and the skill set of a data scientist will rise too. Ask yourself the question if it's really the thing you want to do. In every corner someone talks about data science, don't distract yourself from this. It is your life and your path which you choose.

  19. I’m really sorry to chime in but honestly I can dumb this down, basically anyone can do it. It’s all programming and having the softer skills to explain the models that you create. either using python, R or SQL (I know there is Golang in there upcoming thanks to Gota etc)or some combination. This should be combined with some understanding of the technical landscape of the client. Honestly it shouldn’t take you more than a year give or take if you put the minimum amount of dedication into it. I’m looking forward to the future developments in this field!

  20. I know I have passed the 2019 data science program . But huujjjjjjj any ways God might help me. My life fom child…..?

  21. I'm a Data Scientist in India.
    Python, SQL, PySpark, Hive, AWS, MongoDB, Data Munging, Communication, can get you a job above 1 million rupees a year.

  22. Lol, you are doing a data science video, yet @5:20 , do you understand what you trying to convey?

  23. How many people were surveyed for this video? The numbers seem a little biased.

  24. So nobody is self taught then and all the videos on youtube are lies?

  25. I'm doubtful of my career before watching this video, but now I've decided to keep going. Thanks a lot.

  26. Really Good Info plz can you help to trace path in
    Artificial Intelligence
    and
    Block chain Artitect or developer

    would BSc in Computer Science work with Math and Stat.

    shall I Go for Online Course

    plz it would be great help
    thank you.

  27. I liked the way that this video put emphasis on artifical intelligence skills for data analysis right at the beginning of the video.
    I think that being able to know how to use AI for a datanalysis would be mandatory in the next few years.
    I've heard that to be able to program AI, you'll need a solid knowledge of Maths … Oh boy, it will get harder to get a job in this field.

  28. "Siri, tell me if company XY will thrive for the next 3 months with this market" … and there you go, another job killed by AI lol

  29. I know basic level of python, R and SQL. Is it enough for data science?

  30. Data science is more mathematics (probabilities and statistics) than anything else. Remember that data science was there way before computers with powerful cpu and gpu. Algorithms are just used to solve an overall math problem. Computer science background would make good data scientists. Applied mathematics background would make better data scientists.

  31. I'm currently doing Tybscit in mumbai And I really need your help

    Can you just tell me how and where to start my career in data science with my college studies. I know That you're a most intelligent, professional and experienced guy as a data scientist

    SO, I'm waiting for your reply

    thanks for reading me

  32. There are so many techniques that said I would earn money, and none of them were able to generate the income I desired. I obtained an e-mail from my friends stating that I need to try this money-making technique known as “Sοdαmzοt Sizo” (Google it). I`m now a daily earner of hundred dollars. You should try it personally. .

  33. “Swag” is not easy to define, shows you should do more research and thought into the subject

  34. Hi I’ve done bachelor in science with physics major…. but after that there’s a gap of 6 yrs of work ( not related to physics or data science)
    But I wish to pursue data science and change career. Is it possible? How can I do it?
    Please guide!

  35. One interesting fact – Data scientists as word was used by them so that HR could not fire them . 😂😂
    Strange but true .

  36. All you need is a computer science degree from a good university. Literally nothing else matters.

  37. How did u guys all this data
    I mean what the source of all this data?

  38. Hey everyone, check out our super-informative webinar “Data Science for Beginners”! It’s free and places are limited, so don’t miss out! Save your spot today here: http://bit.ly/2YqhPeD

    Hope to see you there!

  39. Please , I am very confused right now, I am in class 11 and I have taken Physics, chem and maths with Physical education,, Can I become data scientist from these subjects or I have to switch physical to Computer science. Plz reply me..🙏

  40. My point of view this is the opportunity for belong to IT Person great Thanks for make it 👍

  41. hii sir I am learning python.Html,css,JavaScript,and PHP.
    these skills are enough for data scientist ?pleas replay🙏🙏

  42. I'm sooo interested in this… but I'm in my 40's and have no degree. I do have a background in IT. Is this field a bridge too far, or is is attainable? If so, where to start?

  43. Sir I completed my graduation
    I would like do masters program in Data science
    Is it good program or
    Taking online course is the good Idea

  44. Is it still worth to be a data scientist for the next 5-10 years?

  45. My friends advised I try Googling “Sοdαmzοt Sizo” since I have been searching for a method to earn cash that works well. I decided to give it a try, also now I am making many 100`s of dollars a day. I strongly suggest it to everyone. .

  46. TRUTH ABOUT DATA SCIENCE:

    Data science is 5 jobs rolled into one!!(this is callED broad banding), instead of a team, THEY dump the whole job on one person:
    1)market research expert 2) statistician expert 3) programmer 4)system analyst 5)WEB DESIGNER
    IT IS NOT COMPUTER SCIENCE NOT MATHMATICIAN NOT PYTHON PROGRAMMING

    DO YOU REALLY WANT TO LIVE OR DIE ON A JOB ON THE BASIS OF A MODEL THAT MAY HAVE 60 OR 70 PERCENT ACURATE?
    IF YOU STLL WANT TO BE A DATA SCIENTIST STUDY: 1) Excel 90% of all govt or commercial list AND DATA that you BUY for your company will be in excel format NOT PYTHON
    2) STUDY SCHUMS OUTLINES BUSINESS STATISTICS DO ALL 1000 PROBLEMS 2) READ BOOKS ON MARKET RESEARCH 3) READ COLLEGE TEXT ON RESEARCH DESIGNS

    4) DOWNLOAD MAIN STREAM STATISTICS AND BUSINESS INTELLIGENCE SOFTWARE(THATS WHAT YOU USE ON A JOB, NOT HOME MADE INFERIOR PYTHON LIBRARIES)
    SAS, SPSS MAT LAB STATISTICS SOFTWARE. MICROSOFT, ORACLE ,  IBM ALL HAVE BIG DATA, CLOUD DATA SCIENCE SOFTWARE PACKAGES, THATS WHAT PEOPLE
    USE ON A JOB!!! MAIN STREAM SOFTWARE NOT HOME MADE OPEN SOURCE PYTHON JUNK!

    OH ITS POPULAR TO SAY ON YOU TUBE LEARN R!!!
    WELL R HAS ALMOST 2000 PACKAGES!
    WHICH 5 OR 10 OR 20 PACKAGES?

    I HAVE USES R FOR ALMOST 15 YEARS DOING FINANCIAL AND MARKET RESEARCH(NOW CALLED DATA SCIENCE BY RIP OFF SCHOOLS AND COLLEGES)
    AND I HAVE NEVER USED MORE THAN 50 OF THE 2000 PACKAGES IN THE R LIBRARY!

    AS FOR PROGRAMMING EXCEL USES VISUAL BASIC FOR DATA MANIPULATION AND PRESENTATION NOT PYTHON.

    ANY PROGRAMMING LANGUAGE YOU ALREADY KNOW WILL DO JAVA, C++, C, SINCE YOU USE
    THE STATISTICAL AND BIG DATA/DATA SCIENCE SOFTWARE PKGS TO DO THE WORK!!
    YOU DO NOT WRITE YOUR OWN STATISTICAL SOFTWARE!!!!

    YOU USE MAIN STREAM COMMERCIAL PACKAGES FROM MICROSOFT, SAS, IBM( ALL HAVE FREE TRIAL PACKAGES

  47. Can any one tell abt sas in data science..lyk is dat sas is good start to become a data scientists

  48. Can anyone help me out, i know python ,sql, knowledge of regression and classification(along with optimisation techniques like r and adjusted r squared ,f square ,curve fit etc) ml models, nlp(only bag of words),ann,cnn,rnn,some basic java. I have small projects in ml based on classification regression, ann,and a small project, wouldnt call as a project also but implementation of rnn to predict google stock prices,one investment (data analysis and visulisation) implementation and one loan approval( data analysis and visulisation) implementation. Is this enough for me to apply to a data scientist position?

  49. The ivy league guy was the only one to get a data science position from my cohort

  50. The base salary that you have tell, it’s a monthly salary or annual salary?

  51. The learning process for this field is a blast, learning to code with Python is very satisfying. Just get a Raspberry Pi and have fun. Learn and wear it out. I love mine.

  52. data analytics using python

    https://www.youtube.com/watch?v=tmQxUrr4Y-o&list=PLHymv1nR8nHi2CYHVQGikQPnHm0T7W9ZZ

Leave a Reply

Your email address will not be published. Required fields are marked *