The Sad Reality of Being a Data Scientist

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  • เผยแพร่เมื่อ 21 พ.ย. 2024

ความคิดเห็น • 249

  • @samson_afolabi
    @samson_afolabi  3 หลายเดือนก่อน +32

    Hi guys,
    Thanks for watching. I would love to hear from you, what are the sad realities you’ve experienced as a Data Scientist.
    Don’t Forget to like and Subscribe.😊

    • @bigletsplays
      @bigletsplays 3 หลายเดือนก่อน +1

      THank you for giving me insight on this troubling issue. This video reaLly helped 👍 😄

    • @Anashwar-sh5zp
      @Anashwar-sh5zp 3 หลายเดือนก่อน

      Bro getting job as a fresher is difficult in ds
      So I decided to for data analytics gain some ex than jump into ds.but the thing I don't like visualization part .like tableau but rather only interested in ml,dl, part
      So should I still go for da or other tech gain some ex and then jump into ds?

    • @Ikilledthebanks
      @Ikilledthebanks 2 หลายเดือนก่อน

      Great video, best advice is asking the right people the right questions and not getting sidetracked

    • @megankekana
      @megankekana หลายเดือนก่อน

      Sir,do you train?

    • @pheenamoor7683
      @pheenamoor7683 หลายเดือนก่อน

      I just got on your video and is really helpful.
      Please can you mentor Me?

  • @MalamIbnMalam
    @MalamIbnMalam 3 หลายเดือนก่อน +471

    To be honest, when you work in tech, you must have the mindset to always want to learn. That's just how things are in the field of Computer Science.

    • @jaygis5831
      @jaygis5831 2 หลายเดือนก่อน +17

      Definitely !!!! It is a constant change and evolution if not be an accountant (no offense to accountants 😅)

    • @rigobertoitachijohnson
      @rigobertoitachijohnson 2 หลายเดือนก่อน +13

      or find a job where you use Java as backend... in old banks etc.. there's always an alternative :)

    • @ultrasound1459
      @ultrasound1459 2 หลายเดือนก่อน

      ​@@rigobertoitachijohnsonJAVA = 🤡

    • @johnnyq4260
      @johnnyq4260 2 หลายเดือนก่อน +20

      The sad thing is, most of the "knowledge" becomes obsolete in a few years.

    • @jonathanjonathansen
      @jonathanjonathansen 2 หลายเดือนก่อน +4

      @@johnnyq4260 yeah things are moving too fast. 6 months and what you read is useless lol

  • @EzBz982
    @EzBz982 2 หลายเดือนก่อน +248

    1. If you didn’t plan to always be learning, you’ve chosen the wrong field.
    2. Unless you’re in an extremely mature organization with highly segmented labor, you will almost certainly have to play the role of facilitator. If you want to be a staff or principal level researcher, you absolutely must do this anywhere.
    3. Following 2, nobody cares about your tech skills, they care about the value you produce.
    4. Your real job is to create order out of ambiguity.
    5. If you’re good at what you do, the market is ripe with opportunity right now. If you don’t have experience, it’s brutal.

    • @yusufdanjuma8476
      @yusufdanjuma8476 2 หลายเดือนก่อน +2

      😢

    • @enjoyourjoint5012
      @enjoyourjoint5012 2 หลายเดือนก่อน +35

      How can you have experience, if companies don't give you an opportunity to have experience? 😂

    • @craigdataanalyst
      @craigdataanalyst หลายเดือนก่อน

      @@enjoyourjoint5012 Try to do data analyst or data science projects in your current jobs. Try to get your hands on data, excel, csv files etc, then do a project. If there's no data, try to think of some trends or analysis that would be useful. This will give you hands on experience and you can put it on your CV.

    • @ark194
      @ark194 25 วันที่ผ่านมา +1

      Any advice for total newbies?

    • @crigz8113
      @crigz8113 23 วันที่ผ่านมา

      @@enjoyourjoint5012 become an Intern, basically an unpaid employee? I don't know either

  • @thorick590
    @thorick590 หลายเดือนก่อน +48

    people that look forward to studying and learning about new things during non-work hours are the most natural fit for tech fields.

    • @ango586
      @ango586 หลายเดือนก่อน +8

      And they work this 12 hours a day and are under stress

  • @kenamia9136
    @kenamia9136 3 หลายเดือนก่อน +197

    All high paying jobs are this way. There’s nowhere to run. Constant learning, unreasonable expectations.

    • @bigdreams5554
      @bigdreams5554 2 หลายเดือนก่อน +10

      The problem is there aren't any not-so-high paying jobs either

    • @faithkatungumidza4043
      @faithkatungumidza4043 2 หลายเดือนก่อน

      So what courses do you suggest we should do?​@@bigdreams5554

    • @juliusdv6657
      @juliusdv6657 หลายเดือนก่อน +2

      What's wrong with constantly learning and challenging yourself? I I agree with unreasonable expectations, which no one wants to do. But if you're not constantly learning and challenging yourself or don't want to, then you're in the wrong field of work. If you're only in for the money, which, nothing wrong with that, then find a simpler career. Going into computer science and not challenging yourself to learn more or stay update with technologies means you're behind and probably that guy getting put on the chopping block when it's time for layoffs.

    • @DavidChristian-g4e
      @DavidChristian-g4e หลายเดือนก่อน +1

      GPT says no

    • @ST-rj8iu
      @ST-rj8iu หลายเดือนก่อน +1

      it is supply and demand. once everyone can do it, it is no longer high paying.

  • @nosaugowe7925
    @nosaugowe7925 2 หลายเดือนก่อน +85

    The best approach is to follow the TH-camrs who specialize in the tools you choose. So as you regularly watch their videos, you are indirectly being updated on tech as well.

    • @barlettemakuwe4910
      @barlettemakuwe4910 2 หลายเดือนก่อน +2

      Can you please recommend me one of those.

  • @Mrb905-bi8is
    @Mrb905-bi8is หลายเดือนก่อน +19

    As a current data scientist, I agree with everything you’ve said but also with a few comments as well. Tech in general we are expected to constantly learn/upskill and that can get tiring after many years

    • @PHlophe
      @PHlophe วันที่ผ่านมา +1

      its the always and forever learning and adding skills that is the most difficult part i found out about . This is not how i imagine my future to be like when i was 20 and starting in the field . I wonder if anyone feels soulless at times

  • @love83forever
    @love83forever 2 หลายเดือนก่อน +56

    This is why I want to get out of tech. Being on the training treadmill is tiring. I understand that every career needs Continuous learning, but tech is a different level of upskilling, and it gives me anxiety.

    • @jegathings
      @jegathings หลายเดือนก่อน +8

      I left the field after 30 years. The field is much different now. Ultimately, I was working 6 or 7 days a week. I couldn't take it anymore. It became unhealthy in many ways.

    • @noone2717
      @noone2717 หลายเดือนก่อน +8

      @@jegathingsbelieve me when I say there are days I stay up just to finish a project. Tech and especially in the field of data science, most people don’t understand how tiring working on a project is, they expect results in few days which is impossible. I love data science but people who don’t understand is what’s getting me on my nerves. It’s different than other fields.

    • @karimkhan7552
      @karimkhan7552 3 ชั่วโมงที่ผ่านมา

      @@jegathingsI used to work 15 hours a day not in tech field but in restaurant worst job

  • @arto00-g2n
    @arto00-g2n 2 หลายเดือนก่อน +24

    Software engineer turned data engineer eyeballing data science and this was helpful. Honestly I feel the same now with the overwhelming amount of tools and knowledge needed but it’s hard to complain when it feels more doable than say mechanical or electrical engineering. Anyone else feel this? Not imposter syndrome just honestly. It’s hard work and very demanding. Just different than other disciplines. Anyways I’m kind of bored of constantly learning a new tool every month or so. So I’m focusing on mastering things I enjoy and screw the employers and even other competition. Not worth my health. Gotta be smarter not work harder right!

  • @okwuazuifeanyi9825
    @okwuazuifeanyi9825 22 วันที่ผ่านมา +13

    It is crazy.
    I am a trained data scientist, but I build ETL pipelines, dashboards, some software engineering commitments all the while working on my communication skills.
    It is a lot to do, and while I am not really bothered by having a lot of work, the pay is ridiculous! I am highly underpaid and it is frustrating!

    • @Tianaslifevlog
      @Tianaslifevlog 22 วันที่ผ่านมา +3

      Keep persevering and I hope you get into your desired position very soon🤞

    • @samson_afolabi
      @samson_afolabi  20 วันที่ผ่านมา +1

      Sad to hear. But hang in there, I'm sure something better will come around soon.

  • @profTiffin
    @profTiffin หลายเดือนก่อน +1

    Thanks for the video. I agree so called ‘soft skills’ such as communication are vital and often just as important as technical skills

  • @haleematajoke4794
    @haleematajoke4794 2 หลายเดือนก่อน +10

    First time here, am also a Data Scientist. I currently work as an instructor at a computer school teaching data courses. One of the lessons i picked from this video is that as a Data Scientist, u have to keep learning and its true. Sometimes, i feel as if am not trying. Thanks for making this video

  • @paulmartinlife
    @paulmartinlife 2 หลายเดือนก่อน +8

    I find your advice to be equally applicable to my role as an Excel specialist. There's no end to the learning, which is a positive for me. The most important skill, assuming one has the fundamental technical skills, is people management. Managing expectations will get you further than technical expertise...

    • @batman-sr2px
      @batman-sr2px 3 วันที่ผ่านมา

      is an excel specialist formally a data analyst or what? any tips on how to manage expectations?

  • @ShaamJones
    @ShaamJones 2 หลายเดือนก่อน +17

    Continuous learning is a prerequisite for nearly every career realm where high-value assets contribute. I’ve squandered countless hours down the rabbit hole in overhyped courses with clueless facilitators just rehashing definitions without any real-world applicable examples. It’s refreshing to hear someone tell the truth. 👍🏾

    • @PHlophe
      @PHlophe วันที่ผ่านมา

      * I’ve squandered countless hours down* , Chile ! we all did and regrets are piling up lol!

  • @mad-hat
    @mad-hat 25 วันที่ผ่านมา +1

    This is the best explanation of what a data scientist does and whether it is worth doing at all.

  • @avosehabidemi2293
    @avosehabidemi2293 หลายเดือนก่อน +2

    I found your clear explanation incredibly inspiring. It motivated me today as I continue my journey in data science and machine learning engineering. Thanks so much sir

  • @wondermannier4398
    @wondermannier4398 2 หลายเดือนก่อน +27

    I studied Data Science in 2014 and got a job in 2015. I worked for a year and quit because of too many demands and I saw that in the future there will be less job. It was a good decision I made then. Nowadays it is better to be data engineering and upskill yourself and follow the job marketing trends.

    • @hh0686
      @hh0686 2 หลายเดือนก่อน +7

      You still have to keep learning in data engineering

    • @rameeziqbal8711
      @rameeziqbal8711 2 หลายเดือนก่อน

      But Data Science offers higher salary packages than Data Engineering?
      Also, how are you saying there will be less job in future?

    • @abenasarkodie9782
      @abenasarkodie9782 2 หลายเดือนก่อน

      @@rameeziqbal8711because of AI

    • @jusththatuser
      @jusththatuser 2 หลายเดือนก่อน

      @@rameeziqbal8711 the pay is in the same ballpark

    • @moviegist01
      @moviegist01 หลายเดือนก่อน

      ​@@rameeziqbal8711AI is taking the place of many job roles.

  • @s-code-b
    @s-code-b 2 หลายเดือนก่อน +75

    'Always learning' is a good thing. Opens new possibilities.

    • @ZeryusXD
      @ZeryusXD 2 หลายเดือนก่อน +2

      Yep vital to stay employable in this day and age

    • @dallysinghson5569
      @dallysinghson5569 2 หลายเดือนก่อน +5

      The always learning part is what is unpaid and you gotta do on your own time, compare that to other job roles that pay just as well where you're not required to learn new stuff.
      Essentially you're learning new things as your older skill becomes worthless.

    • @juliusdv6657
      @juliusdv6657 หลายเดือนก่อน

      @@dallysinghson5569 then you're in the wrong field of work if that's so troublesome to do. You may not be getting paid, but you're growing yourself and opening doors.

    • @peacefulruler1
      @peacefulruler1 หลายเดือนก่อน +1

      Depends on whether you or your partner expect you to have any free time for yourself or them

    • @s-code-b
      @s-code-b 20 วันที่ผ่านมา

      @@dallysinghson5569 In saying this, I do not mean to know more or better than you. Like your view, this is just another perspective. It is a sigh of relief that new techniques, new stacks, etc. are periodically released. It is true that they add work & challenges, but they are a constructive kind of work. We could get accustomed to kicking the butt of the same video game, playing it over, & over, & over. Fortunately, other devs are cooking up yet other video games to alter the look & play of existing ones. Loosely putting it, essentially, all video games are one & the same, reshuffled, reconfigured, resized, reimagined. We appreciate the classics while we also anticipate the new worlds that new games unfurl.

  • @bheeshmak.s5125
    @bheeshmak.s5125 2 หลายเดือนก่อน +6

    Highly relatable.. It's need a lot to be data scientist. Continuous learning is needed and unrealistic expectations is a real thing..

  • @georgebeierberkeley
    @georgebeierberkeley 2 หลายเดือนก่อน +9

    "Seeking is the Reward" -- you have to learn constantly in pretty much any field, CS included.

  • @PeterBrown-b4i
    @PeterBrown-b4i 2 หลายเดือนก่อน +20

    The key is having the appropriate degree and understanding the theoretical underpinnings of data science. If someone graduated from a boot camp, then they are at the mercy of learning tools or the technology and this is never a position you want to put yourself. If you’re truly serious about being a data scientist, you should have at least bachelors degree in applied statistics or something similar and better a masters degree, once you learn technique and the theoretical underpinnings of the discipline then you become much more resistant to change and it is much quicker to pick up new technologies because you understand how they inherently work .

  • @swiatlowiekuiste
    @swiatlowiekuiste 3 หลายเดือนก่อน +17

    Constant learning I find as an advantage, at least it's interesting.

  • @ikuku1776
    @ikuku1776 หลายเดือนก่อน +2

    I am starting a new job as a data reporting analyst and I'm super excited about it!

    • @samson_afolabi
      @samson_afolabi  หลายเดือนก่อน +1

      Congratulations 😁

    • @telvin8176
      @telvin8176 หลายเดือนก่อน

      Did you get your data analyst course from a boot camp or university or college?

  • @robbiedeegan3121
    @robbiedeegan3121 3 หลายเดือนก่อน +12

    Great video! Commenting so that it reaches people about to start out it data science and aren’t being told how competitive and challenging it is
    Haha landing a role as a data scientist is super challenging! And you always have to keep improving. On top of that if you want to get promoted you have to not only be the most technical person in the room but also one of the most business savvy. Man on man is it a hard role to fill! But that’s why everyone wants to become one, because it’s a role that gives you purpose and pays well

  • @raj345to
    @raj345to 3 หลายเดือนก่อน +30

    seriously i started hating my job as a data scientist!! companies bucket list is increasing like hell. Trying to change my company but not a single profile matches mine.....they need almost 90% match.banking sector will not take engineering data scientist. Healh sector will not take banking or engineering side.....some need only NLP some need CV experience

    • @samson_afolabi
      @samson_afolabi  3 หลายเดือนก่อน +7

      Thats sad.
      What is not said enough is how far apart data science positions can be. All called "Data Scientist" but your day to day duties are so different.

    • @dominicj7977
      @dominicj7977 2 หลายเดือนก่อน +2

      banks do hire non banking DS. You might need to get some banking related certifications

    • @raj345to
      @raj345to 2 หลายเดือนก่อน

      @@dominicj7977 thats what we are talking....one more certification..........and its not about certification.....even if we have, they need experience in banking sector.

    • @whymillie
      @whymillie หลายเดือนก่อน

      honestly, spend three months writing your own blog, they will come chasing you. Recruiters are lazy AF. Use the top ten banks as case studies.

  • @BRichard312
    @BRichard312 3 หลายเดือนก่อน +30

    I don't know what justifies you to say some of the things that you expressed in your video, but as a Data Scientist myself, I found the content you provided at the end of your video to be absolutely horrific advice. I can tell you that I have a specific set of technical skill sets I use and I do NOT defer from those skill sets. If I'm asked to solve a problem, I have the requisite skill sets to do that. However, if I were told or expected to work on some new technology or stack that was not aligned with my specialized skill set, I would NOT engage that project. You must be able to draw boundaries with companies what you can and won't do because if you don't, you will be exploited in a way that causes you to work >40 hour weeks. Don't get into that situation. I've resigned from jobs where the expectations did not match my technical skill sets or changed in some way from the onset of being hired for a DS job. Having said all off that, it should be noted that the technical skill sets I have should cover the better part of 90% of the work I will be doing in this space. However, do NOT just pick up and do anything that an employer barks out. That will put you in a very bad position in a short period of time.

    • @samson_afolabi
      @samson_afolabi  3 หลายเดือนก่อน +1

      Ok

    • @Aleks-fp1kq
      @Aleks-fp1kq 2 หลายเดือนก่อน +3

      Yeah just shout "I don't want, I don't know"

    • @TheJmoneyp
      @TheJmoneyp 2 หลายเดือนก่อน +5

      Just bc your job doesnt align with what he is saying doesn't mean it's not happening 😂. There are plenty of data scientist, analyst, engineers thats agree with what he is saying. Most companies don't even correctly know what data scientist vs Data engineer is and think they do the same thing. Especially start ups (which a good chunk of data scientist and analysts are hired in). Often doing work not even theirs. Hell I worked a job that wanted me to do things software engineer did bc they were confused about the difference (i left eventually). Bc they don't know data analyst or what they do they set unrealistic goals for the person

    • @BRichard312
      @BRichard312 2 หลายเดือนก่อน +4

      @@TheJmoneyp You stated that you eventually left a company due to its expectations being misaligned with your skill sets. I think we agree. Not sure what your argument is here.

  • @sibbyeskie
    @sibbyeskie 2 หลายเดือนก่อน +7

    Yeah that's tech my man. I see a lot of people saying this constant refresh and learning isn't a bug but rather a feature. Yes, sure, definitely when you're in that mode. But life comes at you fast and at some point you need to set aside brain cycles for things other than code, algorithms and constant research. It's nice to be able to rely on a well-crafted skill at some point without continually updating. This gets at the real trap which is if you ever do get comfortable in any way, it's a false comfort that when you wake up from that world (age out, get fired, etc) that what you've been doing is relevant in any way.

    • @allankiplagat2414
      @allankiplagat2414 2 หลายเดือนก่อน +1

      Is there even any tech job that doesn't require you to constantly update your knowledge of the field you working on? For you to remain relevant in the market there is no way of escaping the continual learning phase you just have to embrace it and will go a long way in helping you.

  • @CharlesEsogwa-m2w
    @CharlesEsogwa-m2w 3 หลายเดือนก่อน +6

    Honestly I've been looking for directions, and I got it in this video.
    So many unanswered questions but your video are answering them. Thank you so much for taking your time to create this video, I'm grateful.
    Just started the journey too and I'm currently learning python. I just hope I'm starting out right.

    • @samson_afolabi
      @samson_afolabi  3 หลายเดือนก่อน +3

      You are welcome.
      I'm wishing you all the best in your learning journey. You can check out this video: th-cam.com/video/huoTWEhUaxU/w-d-xo.html where I shared how I learnt and got a job after 6 weeks.

    • @jenniferhiro
      @jenniferhiro 2 หลายเดือนก่อน

      I’m starting on Monday, are you learning yourself or going through a school?

  • @johnwarren8032
    @johnwarren8032 2 หลายเดือนก่อน +1

    Fine video. I appreciate the honesty. You seem like a nice and smart guy. Best of luck.

  • @darshantawte7435
    @darshantawte7435 2 หลายเดือนก่อน +5

    First 2 points are very very true, i firmly agree with them. It is because of these shitty bootcamps and courses many people have started thinking AI jobs are easy and high paying but thats not true. You never get the sense of fullfillment here, always feels there is something pending. Sometimes you just do stuff hoping things will work and end up wasting time. I personally thing being an SDE in a top product based company is a lot better than being a Data Scientist/AI engineer.

  • @rwm1885
    @rwm1885 2 หลายเดือนก่อน +14

    Whether learning or not, data scientist or not, my goal is always how to get out of the rat race, which means how to save as much as possible as soon as possible such that you can get out and either do what you want to do or relax. Thanks for sharing your journey. As I grow older, I'm more excited Abt nearing retirement and/or death so I can leave this capitalistic world to the new gen 😅

    • @emmanweze60
      @emmanweze60 2 หลายเดือนก่อน

      You are exactly my kind of person.

    • @TheNumusicstreet
      @TheNumusicstreet หลายเดือนก่อน

      Very True Im not so thrilled about dying yet, but Im definitely looking forward to retirement as soon as possible -I think there is so much you can do after retirement if you are prepared

  • @godned74
    @godned74 17 วันที่ผ่านมา +1

    Imagine being in my position. I started 2 years ago at the age of 48 starting from zero , playing catch up to to people like you, having to learn coding, data analytics, data engineering, data science, machine learning, llm's, lang chain, rag, agents, my brain is going to f@#$ing explode. once llms hit the scene I knew this was the point of no return and so here I am. embrace it.

    • @elgato49
      @elgato49 15 วันที่ผ่านมา

      Kudos for being able to learn these things at your age. How did u learn them? Coursera? I have a 17 yo getting into data science/ml.

  • @GBGOLC
    @GBGOLC 16 วันที่ผ่านมา

    I’ve been working in IT for over 30 years, and every 10 years the goal post change. You have to reboot in terms of learning. Fundamentals remain the same but something new always comes along. You need to have a passion for IT so you enjoy it and learning does not become a chore. That’s the nature of the beast.
    If you want to improve your chances of getting that “dream” job. The best way is to build something (this also accelerates learning) and showcase it at your interview. It demonstrates a multitude of skills: intelligence, presentation skills, coding, communication, and in-depth technical knowledge, to name a few. If you’re not building a side hustle project, then you most likely don’t have a passion. IT is vast so find the area that excites you the most and excel in it. There are no short cuts in becoming competent, competition is too great.
    With AI, this is literally the best and easiest time right now to learn anything, and it will only get better. You can’t pick IT as an industry just because you want to make big salary because your skill set will always need updating. You need to enjoy what you’re doing and you must embrace change.

  • @HimanshuPakhale-n3i
    @HimanshuPakhale-n3i 2 หลายเดือนก่อน

    you shares the real condition of this field. if competition increases then very hard to sustain at such places. we should have to always find out the less competitive fields where low supply and high demand. don't stuck anywhere just move on. change is the only constant in life

  • @iremideoloyede
    @iremideoloyede 2 หลายเดือนก่อน +5

    Wow!
    Thus is the first TH-cam video I've watched that literally breaks down what data scientist do exactly.
    Thanks so much

  • @KenMeeren
    @KenMeeren 20 วันที่ผ่านมา

    Role overlap and confusion between different teams is another big issue. If someone else is doing your role in a related team, the risk of getting pushed into work you weren’t hired for increases. Incredibly hard to push back, if you see it happening (and it can’t be resolved) then start applying elsewhere. For me, this meant moving cities, countries. Not sure other jobs are better though. Save, invest.

  • @yakaba
    @yakaba 3 หลายเดือนก่อน +25

    I think this does not apply to data scientists alone. Most jobs like project managers and business analysts are experiencing exactly all you mentioned. They always ask what balance of specialists and general skills the need to maintain.

    • @samson_afolabi
      @samson_afolabi  3 หลายเดือนก่อน +3

      Interesting, I guess its everywhere.

    • @batman-sr2px
      @batman-sr2px 3 วันที่ผ่านมา

      but is that listed in the job role or kind of just thrown on the fly to you?

  • @mranonymous8815
    @mranonymous8815 2 หลายเดือนก่อน +2

    My experience is rising complexity throughout the project because the data is never that simple and clearly structured as the client tells you in the first 1-2 meetings before you get access to it and their demands on the ML solution will grow as well as you tell them the details they didn't consider once you get insight to the data - making me soon after telling them my time estimation and salary becoming aware of my heavy underestimation.

  • @ssejjdelorenz3152
    @ssejjdelorenz3152 2 หลายเดือนก่อน +1

    Thanks.. These look like the issues in every high learning professionals

  • @alexpavlides2047
    @alexpavlides2047 2 หลายเดือนก่อน

    You are spot on about what skills are needed to excel in a DS job. Its frustrating that most job adverts are 100% tech skills based. As a previous Head of DS what I cared about was attitude more than skills since being able to learn on the job, take the initiative etc were the most important factors in team success, not whether you knew pandas or pytorch off the top of your head (reason I hate most tech tests). Now I am out of a job and looking for a new one I am finding it difficult. Hiring managers care mostly about skills, not experience and I am only 42! I have made a list of courses I am going to do to keep up/refresh. Its never ending.

    • @de_da_oo
      @de_da_oo 2 หลายเดือนก่อน

      Those skills are impossible to prove. Take initiative. Yeah, sure. What exactly will you be doing when you don't know anything? What and how are you doing it? I've developed those skills after working on several smaller projects with some guidance. And now, a few years later, I can optimize, take initiative, etc. I wanted to do all that from day one, but realistically, it was impossible

  • @botjabber9187
    @botjabber9187 16 ชั่วโมงที่ผ่านมา

    That's how being in software engineering has always been. When Data Scientist is a programmer then it won't be a new thing because as a programmer, we always learn new things. Programming is not static so not statistical, to stay in tech, you need to always learn

  • @chionyenkwu2253
    @chionyenkwu2253 26 วันที่ผ่านมา

    The "secret" of long term success in tech (especially in areas of creation, design and development) is to be prepared to constantly train, stay up to date and be flexible in terms of areas of specialization. As you have clearly realized. 🙂🙂

  • @funmilayogbokoyi7363
    @funmilayogbokoyi7363 หลายเดือนก่อน

    Thank you so much for the enlightenment

  • @vlemvlemvlem3659
    @vlemvlemvlem3659 2 หลายเดือนก่อน +3

    My sad experience: I did the analysis of my life using a pipeline I setup from scratch, visuals were beautiful, deck was simple and clear, made code available, extra dashboards and tables available for whoever wanted to dive a bit deeper. No one gave a shit. Mind you, I had done the stakeholder management and had clear requirements which I met. They simply weren't willing to engage because it went beyond an average. Disappointing but also a good learning to always make sure if a little dashboard or table won't do.

    • @nintendowiirulz
      @nintendowiirulz 2 หลายเดือนก่อน

      I give a shit! Would love to see more of this do you have a link?

    • @vlemvlemvlem3659
      @vlemvlemvlem3659 2 หลายเดือนก่อน +1

      @@nintendowiirulz You are too kind. It's company property I'm afraid so can't share.

    • @nintendowiirulz
      @nintendowiirulz 2 หลายเดือนก่อน

      @@vlemvlemvlem3659 ahh no worries

    • @samson_afolabi
      @samson_afolabi  2 หลายเดือนก่อน +1

      So sad to hear.

  • @dabest9843
    @dabest9843 2 หลายเดือนก่อน +1

    What you've described is the sad realities of software development. No matter the discipline. Because of that, you gotta Like out of me.

  • @nico4734
    @nico4734 16 วันที่ผ่านมา

    It is indeed a demanding journey... however your employer should/must support your constant learning process... for a mutual benefit.

  • @marcgentner1322
    @marcgentner1322 2 หลายเดือนก่อน +2

    Welcome to data engineering. The much more needed profession. Way cooler technologies like kafka spark and much more.

    • @michaelpieters1844
      @michaelpieters1844 2 หลายเดือนก่อน +1

      Data Scientist is just a watered down version of a Statistician, but I guess Silicon valley wanted to get all the data jobs. Data engineering is an old IT role with a brand new name. Old whine in new bottles.

  • @ricardocaballero6357
    @ricardocaballero6357 2 หลายเดือนก่อน +1

    I am a mech engineer and i am always learning say every new problem is a new challenge

  • @tevinwright5109
    @tevinwright5109 2 หลายเดือนก่อน +4

    Guys adding more stuff to the arsenal is not that hard, takes 1-7 days to learn something new in the field because the foundation remains the same. Continuous self development is key in tech. Monotonous jobs creates anger, resentment and a feeling of failure. So to balance I say make sure not to make your life your job.

    • @Aleks-fp1kq
      @Aleks-fp1kq 2 หลายเดือนก่อน +1

      Not true. Tools are introducing new levels of abstraction that make the basic useless.

  • @tigerbelly2152
    @tigerbelly2152 2 หลายเดือนก่อน

    Finally someone speaks the reality of things.

  • @aphiwemagaya3279
    @aphiwemagaya3279 หลายเดือนก่อน

    There's nothing wrong with being a data scientist. All these challenges are similar to other roles. This is corporate that we are talking about. That's why pursuing your postgraduate studies is important because that experience makes your life easier in corporate.

  • @adeolaogunleye7965
    @adeolaogunleye7965 3 หลายเดือนก่อน +9

    (1). Sometimes you will also need to read some crazy ground breaking research papers that are not easily replicable in the real world.
    (2). The compute for working with SOTA is not always adequate in most smaller and mid size companies. e.g Deploying a medium size LLM model internally will cost you a lot of money not to even talk of fine tuning them.
    (3.) Real world data is such a mess. Imaging working with images, XML, JSON and CSV data just for one service.

  • @marcorossi2268
    @marcorossi2268 2 หลายเดือนก่อน +5

    The majority of those 100 applicant have no idea of what data science involves

    • @tosinfayanju188
      @tosinfayanju188 2 หลายเดือนก่อน +4

      They won't until you give them a chance.... And some of them might not see this as a problem

  • @Voicist
    @Voicist 2 หลายเดือนก่อน +12

    If you can't communicate your findings to non-data oriented colleagues, you have absolutely no business being a DA or DS

  • @RAGWT
    @RAGWT 27 วันที่ผ่านมา

    Thank you for this

  • @TheNumusicstreet
    @TheNumusicstreet หลายเดือนก่อน

    Thanks for your advice

  • @acatisgreat11111ff
    @acatisgreat11111ff 16 วันที่ผ่านมา

    So I’ve been a DS for a while with a background in math. I’ve never had trouble picking up on new areas because it’s all based on math.
    You can study on the job. I learned about LLMs during work hours; I never work after my job and stick to the 9-5. I wouldn’t worry too much about reading the latest papers.
    But yeah, agree with unrealistic expectations. I spend more time talking than coding at this point

    • @batman-sr2px
      @batman-sr2px 5 วันที่ผ่านมา

      Is there actually enough data every day to able to create and analyze the data to make this a viable job everyday from 9 to 5? I jsut don't understand how there can be so much data to be analyzed. The work of data analyst seems to be something suited for freelancing for a while but not soemthing like a consistent work.

    • @acatisgreat11111ff
      @acatisgreat11111ff 5 วันที่ผ่านมา

      @@batman-sr2px , you will never be doing coding 9-5. It's mainly meetings, speaking with stakeholders, then coding. And paperwork. There's a ton of data out there, that's never a problem

    • @batman-sr2px
      @batman-sr2px 3 วันที่ผ่านมา

      ​@@acatisgreat11111ff thanks. Also only except work from home opportunity if the job listing said so or are they flexible enough to give some days after you got the job and it didn't say so? How many job listing would you say are either WFH or only office is it about like 50/50?

  • @chukwuderamojekwu2397
    @chukwuderamojekwu2397 หลายเดือนก่อน

    No 2 is the realest response

  • @justinian420
    @justinian420 2 หลายเดือนก่อน +3

    It's disappointing how trivial and tedious so much of the work can be. Like you say, Excel ends up dominating in a corporate environment. Stuff that should be done in Python ends up in excel because managers are too low IQ to use Python. If you're getting paid well it can be worthwhile to stick it out in one of these jobs, but better invest wisely so you don't have to do it deep into middle age.

    • @batman-sr2px
      @batman-sr2px 3 วันที่ผ่านมา

      Typically expect all managers to not know how to use python right? Do you have to do the tasks in excel or you do them in python then convert?

    • @justinian420
      @justinian420 3 วันที่ผ่านมา +1

      @@batman-sr2px typically I do as much as I can in Python

    • @batman-sr2px
      @batman-sr2px 2 วันที่ผ่านมา

      @@justinian420 1. Thanks so its converted into excel later for the managers to view and that goes pretty smooth or tedious? 2. Are job listings pretty split even between WFH and office only positions? Do you find jobs to be pretty flexible to allows WFH days if never mentioned in the job listing?

  • @chriskarnes3410
    @chriskarnes3410 2 หลายเดือนก่อน +1

    Totally unreal expectations from business people. And all they care about are LLM this and that when traditional ML could be much more fruitful

  • @missionlimelyt144
    @missionlimelyt144 8 วันที่ผ่านมา

    I have a have a back ground in communication, and i want to divert and get some tech skills. Which would you advice as a beginner Data Science or Data Analyst?

  • @Sydney_Anuyah
    @Sydney_Anuyah 2 หลายเดือนก่อน +1

    This doesn’t really sound like Data Science but more like Data Engineering. Data Science is primarily research focused. Most big techs data scientists are mostly research scientists

  • @mukhtarabebefe7596
    @mukhtarabebefe7596 2 หลายเดือนก่อน +2

    I took a paid boot camp and ran it for almost 6months. Afterwards was 3 weeks of Internship, but i got a job offer in an engineering firm, throughout this almost 7 months, i was still learning and learning that long without no pay or result is just not going to fly especially if youre under your parent roof. I took the job, tried running both carrers, eventually had to let DS go but still I watch your videos to keep myself farmiliar with the field.

    • @soliatomolara1877
      @soliatomolara1877 2 หลายเดือนก่อน

      This also happened to me, I had to stop learning data science to find something that would be bringing in money. But I'm now back to learning data science.

  • @dafizzykings
    @dafizzykings 2 หลายเดือนก่อน

    What app did your screen recording??
    I like ❤

  • @Microphoneparrot
    @Microphoneparrot 2 หลายเดือนก่อน +1

    Very informative 👏🏽👏🏽👏🏽🔥

  • @mourice1669
    @mourice1669 8 วันที่ผ่านมา

    There are Challenges in Every Profession...

  • @stephenkoya7816
    @stephenkoya7816 2 หลายเดือนก่อน

    Great content.

  • @DeleO-f8w
    @DeleO-f8w หลายเดือนก่อน +2

    When people are rushing into anything data, AI will soon take over this soon.

  • @lutzfilor8253
    @lutzfilor8253 2 หลายเดือนก่อน +1

    Creating new labels for the field of work. Data scientists… data drive , you crunch the numbers into a diagram for a lazy manager… good luck for you job security. Redundant at best.

  • @chrisogonas
    @chrisogonas 2 หลายเดือนก่อน

    Interesting perspective!

  • @s-code-b
    @s-code-b 20 วันที่ผ่านมา

    (1) Sad : The only thing that can be actually SAD about Data Scientists is if their role (DS) were to become REDUNDANT.
    (2) Competition : What has been referred to as 'competition' are actually the same folks who share your 'interests': those who understand your curiosities-&-likes that others don't get.
    (3) Dark-Side : Anything but destroying human-life, communities, or the HOME-planet is actually much on the BRIGHT-side.

  • @EleshChannel
    @EleshChannel 11 วันที่ผ่านมา

    Data science is super boring. I feel the pain of my co-worker sitting next to me when she has to wait 4hrs to train a model only to realize that the accuracy is unacceptable and then start the re-training again. Dosen't look like too many things can be done at the same time. For the learning complaint, this is general in most IT fields.

  • @cartmanbruh23
    @cartmanbruh23 2 หลายเดือนก่อน

    Continuous LEARNING is implicit if you are in the tech field.

  • @StarDust_2077
    @StarDust_2077 2 หลายเดือนก่อน +5

    This just sounds like any software engineering field. If career learning isn’t for you then don’t even start a tech career. It is life in tech

  • @flekderantrow3706
    @flekderantrow3706 หลายเดือนก่อน

    thanks man!

  • @RetroHobbyMag
    @RetroHobbyMag 2 หลายเดือนก่อน +3

    Using terms like 'data scientist' doesn't really help; the majority of IT bods can't even integrate/differentiate. Learn a real discipline, and then move onto IT if that is what you want to do.

  • @selassynkonu1265
    @selassynkonu1265 3 หลายเดือนก่อน +1

    Hello Samson,
    I'm Selassy from Ghana and would like to seek your professional advice. I want to join the military in my country but as a data scientist. I have no knowledge in computer science or data science. How do I go about my journey. Also, how is data scientist relevant to modern day's military

    • @samson_afolabi
      @samson_afolabi  2 หลายเดือนก่อน +1

      For the latter, I can't speak authoritatively about that.
      However, for the earlier, You can check out my guide here: th-cam.com/video/huoTWEhUaxU/w-d-xo.html

  • @YouAREyoubeYou
    @YouAREyoubeYou หลายเดือนก่อน

    What other jobs that are high paying where you don’t have to keep learning?

  • @supagoon8
    @supagoon8 หลายเดือนก่อน +1

    sounds like you're explaining why your job was difficult

  • @eteims
    @eteims 3 หลายเดือนก่อน +2

    I can relate with the magician thing 🤣🤣🤣

  • @scarfo441
    @scarfo441 2 หลายเดือนก่อน

    you get tired of learning?...oh no..something must be wrong with me cuz i never ever get tired of learning..ever..i read everything from science to cook books..i love to learn new things

    • @ReenelT
      @ReenelT หลายเดือนก่อน

      This is me too, I read everything. I watch every kind of content.

  • @jeffreyakwasiofori5696
    @jeffreyakwasiofori5696 หลายเดือนก่อน +2

    But why is learning a harsh or sad reality..I like researching and learning so that is not sad at all😂😂😂😂

  • @ngozieze5819
    @ngozieze5819 2 หลายเดือนก่อน

    Did you really quit or are you still practicing DS?

  • @charlita25
    @charlita25 2 หลายเดือนก่อน +1

    “Magician 🎩🔮👳🏾‍♂️🪄🧙🏽” lol 😂

  • @selassynkonu1265
    @selassynkonu1265 3 หลายเดือนก่อน +2

    I want to join the military but as a data scientist

    • @darylallen2485
      @darylallen2485 3 หลายเดือนก่อน

      Trying looking for defense contractors instead.

  • @saaondoterkuma4802
    @saaondoterkuma4802 2 หลายเดือนก่อน +1

    Thanks for this explanation, please how can I connect with you?

    • @samson_afolabi
      @samson_afolabi  2 หลายเดือนก่อน

      www.linkedin.com/in/samson-afolabi/

  • @FutoXar
    @FutoXar 17 วันที่ผ่านมา

    If you stop now you will be behind forever it's so much happening now

  • @sunnohh
    @sunnohh 2 หลายเดือนก่อน +3

    Data science is easy, just shit out nonsense and hide behind a phd and hype

    • @Jonathan2x6
      @Jonathan2x6 18 วันที่ผ่านมา

      @sunnohh Since your such an expert, try shitting out bricks …made of lead …. by the ton my friend.😂

  • @nmaunusual
    @nmaunusual หลายเดือนก่อน

    I'm new into tech like beginner beginner and about to get a laptop 🥱 please, should i proceed or not?

    • @Fathia_Olajide
      @Fathia_Olajide 29 วันที่ผ่านมา

      Proceed please. It'll worth it if you're consistent

  • @abdullaywourmonychol1626
    @abdullaywourmonychol1626 2 หลายเดือนก่อน

    Hey sir,
    Is it advisable study Msc data science in Germany

  • @shiouming
    @shiouming 2 หลายเดือนก่อน

    For unrealistic expectations, is that something that every DS will face as part of their job? or... is it normally handled by leader such as Lead DS or Principal DS?

    • @samson_afolabi
      @samson_afolabi  2 หลายเดือนก่อน

      For me,
      My Previous Team lead was responsible for setting things straight. Now, that I lead a Team, I do that. It's just important to know and be ready to put things correctly.

    • @shiouming
      @shiouming 2 หลายเดือนก่อน

      @@samson_afolabi I see. good advice. You're such a supportive leader. In my career as engineer, my leaders and managers usually don't want to get involve in this so engineers have to deal with unrealistic expectations by themselves. This is in Asia btw.

    • @TheJmoneyp
      @TheJmoneyp 2 หลายเดือนก่อน

      What I experienced and heard. A lot of companies do not understand what data analyst, data scientist are and do. Most data techies get hired at start ups. Since most ppl don't understand data they think...ah this guy is a data guy this guy knows everything and will solve all my problems. Give you loads of things that aren't even in your field like software engineer or marketing projects campaign😂.

    • @shiouming
      @shiouming 2 หลายเดือนก่อน

      @@TheJmoneyp i'm not in data field, but i did hear similar story multiple times from events, where people were hired as data scientist, after joined the company then only found out the org misunderstood what data science is all about, setting up data science team with wrong expectation.

  • @chideraonwualu7456
    @chideraonwualu7456 หลายเดือนก่อน

    Please I need your help
    I studied accounting but i am interested in learning data science, I have been trying to learn data science on TH-cam, but the funny thing is that I don’t know where to start from

    • @93hothead
      @93hothead หลายเดือนก่อน +1

      don't do it

    • @chideraonwualu7456
      @chideraonwualu7456 หลายเดือนก่อน

      @@93hothead please why

    • @samson_afolabi
      @samson_afolabi  หลายเดือนก่อน +1

      I guess the reason why he said No, is about a structure and planning. That’s why I recommend some of this online platforms like DataQuest or Data camp. They can help get you started. You can check out my video on how I got started here - th-cam.com/video/huoTWEhUaxU/w-d-xo.htmlsi=JNgew40mXHFKl7JQ

    • @chideraonwualu7456
      @chideraonwualu7456 หลายเดือนก่อน +1

      @@samson_afolabi thank you so much

  • @Speedylabs
    @Speedylabs 28 วันที่ผ่านมา

    Personally i dont think any of these are sad actually. Its just the job market

  • @Microphoneparrot
    @Microphoneparrot 2 หลายเดือนก่อน

    Let’s Gooo 🔥

  • @jeremystanley9395
    @jeremystanley9395 2 หลายเดือนก่อน

    i wonder if its even a good field to get into becuase of the rise of AI and such

  • @judeituma4551
    @judeituma4551 2 หลายเดือนก่อน

    Weldone

  • @sherif2k3
    @sherif2k3 2 หลายเดือนก่อน

    Actually All tech jobs have the same sad realities.

  • @CitizenEa
    @CitizenEa 2 หลายเดือนก่อน +1

    Does "Data Scientist" means you are a scientist who study data? Isnt this boring?

    • @samson_afolabi
      @samson_afolabi  2 หลายเดือนก่อน

      Maybe maybe not.

    • @ToniSkit
      @ToniSkit 2 หลายเดือนก่อน

      Data is cool - lots of things to learn from data

    • @euniceduah4793
      @euniceduah4793 2 หลายเดือนก่อน

      yeah, that's what a data scientist does. It can also be magical

  • @slickandslaycious6579
    @slickandslaycious6579 หลายเดือนก่อน +1

    The market ain't stable

  • @UtiOgedegbe
    @UtiOgedegbe หลายเดือนก่อน +1

    omo na you sabi

    • @samson_afolabi
      @samson_afolabi  หลายเดือนก่อน

      lol…this got me laughing 😄