Data Scientist vs Data Analyst vs Data Engineer: What's the difference?

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  • Опубликовано: 28 апр 2022
  • Twitter: / dataiku
    Instagram: / dataiku
    From Joma Media
    www.joma.media/

Комментарии • 266

  • @LouiWoodman
    @LouiWoodman 2 года назад +217

    Very understandable approach to explaining the differences in these roles. It's definitely appreciated, especially with the blurred lines that companies often use to represent these fields.

  • @konnerbaker7886
    @konnerbaker7886 2 года назад +12

    great video! thanks for clearing that up and explaining the various elements of so many different roles in this field! very helpful.

  • @husnainahmad8261
    @husnainahmad8261 Год назад +36

    Most of these companies don't even know the difference between Computer Science, Software Engineering and Information technology . They think it's a same thing.

    • @user-dp2lh1hc3z
      @user-dp2lh1hc3z Месяц назад

      Mm.. but it kind of is. And tbh I think that there shouldn't really be a distinction made across the three, each should know a bit of the others.

  • @Mehrwegflasche
    @Mehrwegflasche 2 года назад +329

    25 hours a day are possible on days where you return from daylight saving time to standard time.

  • @juliannelam1492
    @juliannelam1492 10 месяцев назад +3

    Thank you so much for giving us not only the differences, but also how the market uses the terms. You made everything very clear for me now. Congrats on the video!

  • @louisjohn4823
    @louisjohn4823 Год назад +238

    didn't expect joma to be this informative

    • @fatimaWr2
      @fatimaWr2 Год назад +12

      I wanna laugh😂

    • @mamneo2
      @mamneo2 Год назад +3

      Incroyable.

    • @johnraymundaquino6468
      @johnraymundaquino6468 Год назад

      @@fatimaWr2 hahahaha

    • @jeremiahekott5658
      @jeremiahekott5658 10 месяцев назад

      🤣

    • @felixinit
      @felixinit 10 месяцев назад +1

      Good to know he can do It too. I was waiting the part to laugh, but surprise about how really usefull this information was for me.

  • @iremgurek3539
    @iremgurek3539 10 месяцев назад +11

    This video was incredibly helpful in clarifying job titles within the job market, and I no longer feel as though I'm struggling. Great explanation! Thanks !!

    • @isaaclovesJesus
      @isaaclovesJesus 3 месяца назад

      Jesus is your answer to every struggle!! Amen.

    • @poachedegg3376
      @poachedegg3376 3 месяца назад

      ​@@isaaclovesJesus bruh

  • @thesleeplesscoben
    @thesleeplesscoben Год назад +121

    I work as a Data Analyst / Engineer / Scientist as is the case with most people working in smaller companies. I don't excel at any of the three areas except maybe engineering because I'm the only one who does it on my team, not because I'm actually good at it. For every insight I find, someone else can find 5 more, for every model I build, someone else will always build a model with better performance. It drives me crazy but it is what it is I suppose.
    Another thing about working in smaller companies is that solutions are usually frowned upon because of the extra costs. It's annoying to have to write everything from scratch from pipelines to dashboards, but it's also a good learning experience.

    • @aena5995
      @aena5995 Год назад

      is a bachelors in business data analytics worth it ( the program has machine learning business finance and a programming course aswell )or is something general like Econ or Computers better ? I wanna do a masters afterwards most probably in Computer science or IT

    • @thesleeplesscoben
      @thesleeplesscoben Год назад +3

      @@aena5995 Sounds like a good choice. I don't recommend going into pure Data Science courses simply because of how vast the field is. Having a narrower focus helps you carve out your own niche, and if business / finance is the area of Data Science you're personally interested in, go for it

    • @RobertWF42
      @RobertWF42 Год назад +2

      Same here. Though I did work for a company that had a separate team of SQL programmers for preparing our data & another team that performed QA. By the time I got the data it was ready to plug into R or SAS.

    • @BlenderUnreal
      @BlenderUnreal Год назад +3

      thanks for sharing your experience. thats why i love the comments to a topic i m interested

    • @bayastantursaliev7142
      @bayastantursaliev7142 Год назад +2

      Hello, Mr. Daniel! I am 17 years old boy with no tech background and bad math who wants to work as a data scientist in the near future. If it is no problem, could you give me some advices how I can start?

  • @KorhalKk
    @KorhalKk 2 года назад +10

    That's a very nice explanation, I'd love to see each step in-depth

  • @authentic_101
    @authentic_101 Год назад +2

    This is a really great video to clarify the various data needs companies usually have, and where each role comes in! Thanks a ton!

  • @ezechielamoussou7409
    @ezechielamoussou7409 Год назад

    Thank you! It's so clear now! You're awesome!

  • @SimoneSimiPrins
    @SimoneSimiPrins Год назад +1

    Excellent video! I have been looking for this explanation. This also helps me to know where to start learning in terms of data science. Thanks!

  • @devishaarunadevitiwari3988
    @devishaarunadevitiwari3988 4 месяца назад +2

    Thanks for sharing such a valuable information on Google Software Engineers and their multifaceted roles as Data Scientist, Research Scientist, ML Engineers, Data Analyst. Brilliant explanation.

  • @ivakamie3568
    @ivakamie3568 2 года назад

    I have seen many videos for the last few months within this topic, but THIS video is the most comprehensive for now.

  • @rmm8171
    @rmm8171 Год назад

    Awesome video exactly what I needed! Thank you!

  • @MomoDuality
    @MomoDuality Год назад

    Great video, now I can finally understand and compare different job listings more effectively

  • @ahmetalperenyildirim6184
    @ahmetalperenyildirim6184 Год назад +7

    Thanks a lot, I'm working as Data Analyst and this content made it clear for me!

  • @TobysDataDigest
    @TobysDataDigest Год назад

    Your videos are a HUGE inspiration!! just started out my own youtube (from my experience as a data analyst) All the best!

  • @PhoneNHe
    @PhoneNHe 10 месяцев назад +1

    very valuable that it helps me to identify what project and skills in what order I have to learn first.

  • @JourneytoMoneyRich
    @JourneytoMoneyRich Год назад +1

    Thanks! Cleared the difference really well!

  • @samanparsi6187
    @samanparsi6187 10 месяцев назад +1

    I like your formal videos much more than fun ones. Thank you.

  • @justanothereconomist198
    @justanothereconomist198 Год назад +18

    Yep, I can confirm as a PhD research scientist that I do in fact have a side kick ML engineer (actually 3) to help me create all my crazy shit.

  • @gleysonoliveira802
    @gleysonoliveira802 Год назад

    Excellent video! The best video on this comparison
    I've watched

  • @well9851
    @well9851 Год назад

    Thank you!! This video helped me a lot about this subject.

  • @agdevoq
    @agdevoq Год назад +13

    No real life difference, bro. Managers barely understand the difference between a programmer and a bartender, so they'll throw you into whatever tech role as long as you can turn a pc on.

  • @kevinmendoza7208
    @kevinmendoza7208 10 месяцев назад

    Thank you for your advise dataiku

  • @VichoBandido
    @VichoBandido Год назад

    Brilliant explanation! THanks

  • @srishtichy
    @srishtichy 18 дней назад

    So well explained .. thank you!

  • @juliantambwe8551
    @juliantambwe8551 Месяц назад

    Right on point , Thx.

  • @Shalamarshalamar
    @Shalamarshalamar Год назад +1

    Perfect Video explanation // having worked several Oracle Federal Projects as a Software Engineer ....i am moving on to the Next BIG Thing : "DATA Scientist" ...seems its all about Forecasting & Predictive Analytics //

  • @Olorunnisola0101
    @Olorunnisola0101 Год назад +1

    A very good explanation on how to clarify those roles!

  • @abks404kr
    @abks404kr 2 месяца назад

    This was such a helpful video man you are the GOAT

  • @NurulIslam-jq9kh
    @NurulIslam-jq9kh 2 года назад +61

    Really nice video. I am a current data analyst at a large tech company, hoping to become a ML engineer eventually (similar to a google software engineer whose capable of everything in that chart). Love the content, keep it up.

    • @NCODEXMUSIC
      @NCODEXMUSIC Год назад

      Is the salary good ?

    • @NCODEXMUSIC
      @NCODEXMUSIC Год назад

      Is the salary good ?

    • @hanchengyu3119
      @hanchengyu3119 Год назад +8

      No. If you want to become a data scientist, let others do the data cleansing and IT diagnosis things. I was a victim of this - ex company paid me only one person's salary, while I did MLOps job + i18n + PPT making. It's not worth it unless they pay you enough.

    • @thefourthbrotherkaramazov245
      @thefourthbrotherkaramazov245 Год назад +6

      @@hanchengyu3119 not only that but "capable of everything" is not a good thing. Someone who is specialized will always perform better. Much better to make well functioning teams than thin out the skills of everyone and get sub par results for everything.

    • @aena5995
      @aena5995 Год назад

      @@thefourthbrotherkaramazov245
      is a bachelors in business data analytics worth it ( the program has machine learning business finance and a programming course aswell )or is something general like Econ or Computers better ? I wanna do a masters afterwards most probably in Computer science or IT

  • @hmmok5791
    @hmmok5791 Год назад +1

    I know zero about tech yet I understood everything you explained. Bravo

  • @ArmyBlink-jr8ws
    @ArmyBlink-jr8ws Месяц назад

    Thanks for giving all this information.

  • @ndingere7857
    @ndingere7857 Год назад

    Great video. Thank you!

  • @piperogusano
    @piperogusano Год назад

    what a great explanation! thank a lot

  • @abayutebaev957
    @abayutebaev957 Год назад

    Thank you very much for this video!

  • @charlesmcdowell9436
    @charlesmcdowell9436 Год назад +1

    His sense of humor is legendary, especially on the data logging part.

  • @kimeg7294
    @kimeg7294 Год назад +51

    Companies nowadays prefer a generalist over a specialist who is super expert at one specific field only. This is why developers experience burn outs so often, they have almost no option but to spend a great portion of their time trying out new tech, and whatever they learn will most likely be replaced by "better" resources.

    • @ianmutuma6564
      @ianmutuma6564 Год назад +4

      you're right, "unicorn" Data scientist is a thing now.

    • @mohit4902
      @mohit4902 Год назад +2

      Most data professionals burn out even before they reach 30. But the sad part is they don't even get paid as well as quants or other similar mathematical professions do

    • @brendonrusperes9001
      @brendonrusperes9001 Год назад

      What tip do you have for those who don't want to go through that and are finishing their graduation in Computer Science? please answer me

  • @deejayrubio6915
    @deejayrubio6915 Год назад

    subs.. I've been seeing your video on my feed for a while now since I started roaming around to study software development but my true goal was to go up to the data scientist role, that's just the goal I have in mind and you just revealed to me that I don't exactly NEED to become a software engineer first if I can land myself to a data analyst role, the hierarchy showed me I can still walk up slowly to reaching my goal.. you are a god send.. :)

    • @mohit4902
      @mohit4902 Год назад

      Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
      You must choose your field smartly for the future -
      Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.

  • @billyKOTF
    @billyKOTF Год назад +1

    Thanks for the vid, very instructive

  • @financiallyfreegenz
    @financiallyfreegenz 5 месяцев назад

    Great visualization and explaination

  • @felixinit
    @felixinit 10 месяцев назад

    The Data Science Herarchy of Needs. Excelente explicación de las diferentes necesidades y que hace cada rol en estas necesidades.

  • @fasxpyrexvision8008
    @fasxpyrexvision8008 Год назад

    This helped a lot, thank you

  • @jimmybellmon1268
    @jimmybellmon1268 Год назад +4

    As a software engineer I've been doing all this for 20 years, before the "analyst" position became normalize. My job title on one job was Programmer Data Analyst

  • @svitlanakomarova
    @svitlanakomarova 2 месяца назад

    Awesome! thank you

  • @kimbleygriffin8058
    @kimbleygriffin8058 10 месяцев назад

    This was very helpful information; thank you!

  • @lawjeffrey5722
    @lawjeffrey5722 Год назад

    Thanks for sharing. Easy to understand.

  • @SuperHddf
    @SuperHddf 2 года назад

    that smooth music at the end really hit me

  • @manatahir9870
    @manatahir9870 Год назад +2

    Simple, concise and very good explained👍

  • @digitalnomad2196
    @digitalnomad2196 6 месяцев назад

    Amazing breakdown

  • @user-ip8xn3we7q
    @user-ip8xn3we7q 6 месяцев назад

    Very clear!!

  • @r0cketRacoon
    @r0cketRacoon 6 месяцев назад

    such a very approachable video!

  • @MrMegafly2011
    @MrMegafly2011 Год назад

    Fantastic video thanks learnt soo much

  • @yuanjijin5749
    @yuanjijin5749 2 года назад +1

    holy moly need more vids like this

  • @saydeeztee
    @saydeeztee 10 месяцев назад

    The lines very easily get blurred! Thank you for the video!

  • @hardrod6989
    @hardrod6989 Год назад

    the best video ever! on this topic.

  • @Aidan_Au
    @Aidan_Au 2 года назад

    My fav RUclipsr is back!

  • @OpeLeke
    @OpeLeke 2 года назад

    Excellent explanation

  • @hanif3661
    @hanif3661 Год назад

    thanks a lot for this great axplanation 🎉

  • @mohamedelfelyani8233
    @mohamedelfelyani8233 Год назад

    AMAZING VIDEO thanx man !!!!!!!

  • @codespector1989
    @codespector1989 Год назад

    well explained , thank you :)

  • @muhammadkhizertariq3779
    @muhammadkhizertariq3779 Год назад

    Very easy to understand
    Informative 👍🏻

  • @afshinbidar
    @afshinbidar Год назад +21

    I am a marketing project manager and i was wondering if i could shift my path to data scientist/analyst, and your amazing video made it clear for me, thanks very much

    • @mohit4902
      @mohit4902 Год назад +12

      Data Science/Machine Learning/Data Engineering/Data Analyst roles are incredibly overhyped and actually are not very rewarding. The competition is insane and getting a job takes almost 18 months of grinding to break into the industry. Plus you need a masters in Data Science to actually be considered for most roles. But even despite that, you are not considered for most jobs if you don't have work experience. To add on top of that, there are insanely long hours and crazy work pressure, but relatively low pay in these fields,,
      You must choose your field smartly for the future -
      Java and Cybersecurity roles along with, network engineer, VLSI, and networking roles are always hiring. So are, product management, Salesforce, and PPM type of roles. Core fields are great but they just aren't that much in demand. Always choose IT or CS or Electrical/Networking and learn to code in Java or Javascript. You are pretty much guaranteed to get a high-paying job.

    • @kimitruis
      @kimitruis Год назад

      @@mohit4902 would CIS be in this category?

    • @pramesh.gurung
      @pramesh.gurung 11 месяцев назад +6

      @@mohit4902i was thinking of going to the data science route since my field is research but seeing your ans make me doubtful 😅😅 either way i love computers.

  • @kaelhawker6021
    @kaelhawker6021 Год назад

    Great explanation

  • @danielchong4081
    @danielchong4081 Год назад

    Very good summarise info and helpful.

  • @sli7312
    @sli7312 2 года назад +1

    Tremendously helpful! Thanks!

  • @milquiadesherrera7319
    @milquiadesherrera7319 Год назад

    Than you man

  • @eagleeyemind4800
    @eagleeyemind4800 Год назад

    Wow ty for explaining this

  • @veroersincerus
    @veroersincerus 9 месяцев назад

    This is very informatif, Dude🤩

  • @kid_8929
    @kid_8929 2 года назад

    Thanks for the vid

  • @ahmadabulafi7493
    @ahmadabulafi7493 Год назад

    Very helpful. Thanks

  • @JohnnyHandsomeCapital
    @JohnnyHandsomeCapital Год назад

    Awesome explanation, even my business analysts brain understood the difference :)

  • @cemre1437
    @cemre1437 11 месяцев назад

    Thanks!

  • @KayGee_yt
    @KayGee_yt 11 месяцев назад

    I'm studying UX and I just don't know whats going on in the engineer/developer/data world at all! Thanks for the easy to understand explainations

  • @lwhieldon1
    @lwhieldon1 Год назад +1

    “Make sure you look at the description of the job you’re applying for” 😳

  • @jimdimitroff6197
    @jimdimitroff6197 Год назад

    Very insightful and placed in layman's terms. You have a new subscriber!

  • @VaibhavShewale
    @VaibhavShewale 2 года назад +1

    reading is important where ever you go

  • @germa66stealthblack
    @germa66stealthblack 4 месяца назад

    awesome!!

  • @serajmehrabkhani7333
    @serajmehrabkhani7333 Год назад

    such a great video.

  • @greatcreat0r
    @greatcreat0r Год назад

    Thank you

  • @CristianIntriago_
    @CristianIntriago_ Год назад

    Good vide Joma :)

  • @eddieoneil117
    @eddieoneil117 5 месяцев назад

    25h per day could be possible if the person was traveling, some places in the word change hours when the day light is shorter or just by changing setting in the phone can eventually lead to 25h per day. But i get it, it better get rid of weird datas so it is easier to predict later

  • @syedmohsinraza9055
    @syedmohsinraza9055 Год назад +1

    I slept for 48 hours a day and realised it was a dream 😢😢 anything is possible when you are a software engineer, Goodluck guys.

  • @javierguardia2619
    @javierguardia2619 2 года назад +2

    I need to share this video. You have great content, specially for beginners like me. Thanks

  • @emmanuelbonsu7173
    @emmanuelbonsu7173 7 месяцев назад

    very well explained

  • @tiffweaver9300
    @tiffweaver9300 Год назад

    This was very informative

  • @Fulltimedragon
    @Fulltimedragon Год назад

    Great video

  • @JRay2113
    @JRay2113 Год назад

    What I learned working at multiple companies is this, MOST COMPANIES DONT KNOW JACK SHIZNIT ABOUT DATA. Aside from finance & insurance companies, most places don’t have the discipline or stomach for investing in a true data first company. And that especially includes SW companies.

  • @TheMrBvcx
    @TheMrBvcx 2 года назад +1

    really cool vid' ; thanks a lot

  • @alextremodelnorte1905
    @alextremodelnorte1905 4 месяца назад

    Interesting. I wanted to know the difference.

  • @_rollan
    @_rollan 10 месяцев назад

    i didn't know joma had a second channel

  • @ryono2759
    @ryono2759 Год назад +2

    Not really, sometimes discription is just for illustration, the company will ask you to do more or sometimes not related to your scope

  • @juliandavidquinteroferrer1916
    @juliandavidquinteroferrer1916 Год назад

    great video

  • @danielsehnoutek2016
    @danielsehnoutek2016 11 месяцев назад

    thanks brooo

  • @julie_chen
    @julie_chen 18 дней назад

    I didn’t know about this channel of you.

  • @bhoomikakumar6610
    @bhoomikakumar6610 8 месяцев назад

    amazing video

  • @vectoralphaAI
    @vectoralphaAI Год назад +8

    So as someone who eventually one day wants to work in data science industry, is there an entry level job role that one can apply as a starting point and just get promoted/ level up to a data science in time rather than just trying to apply for a data science position from the get go? I dont mind starting at the bottom and working my way up the ladder.

    • @kofiasare8824
      @kofiasare8824 11 месяцев назад

      I am curious as well I recently started using tableau to sort out datasheets to train myself for a data analyst and although im learning this video shows i still have a long way to go

  • @yeorj8306
    @yeorj8306 9 месяцев назад +2

    A question, i wanted to study data sicentist in a bootcamp, it takes arround a year. Is this te best option? i would able me to work as a scientist or an analyst if it is the requeriment?
    And in terms of salary and future demand, is a good option? Or should i study another thing