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.
@ilovebaking-v2v7 ай бұрын
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.
@LouiWoodman2 жыл бұрын
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.
@HaroutBlack5 ай бұрын
Jesus is the only way to healing, restoration and salvation to all souls. Please turn to him and he will change your life, depression into delight, soul heading from hell to heaven all because of what he did on the cross “Whoever calls upon the name of the Lord shall be saved” Romans 10:13
@louisjohn48232 жыл бұрын
didn't expect joma to be this informative
@fatimaWr22 жыл бұрын
I wanna laugh😂
@mamneo2 Жыл бұрын
Incroyable.
@johnraymundaquino6468 Жыл бұрын
@@fatimaWr2 hahahaha
@jeremiahekott5658 Жыл бұрын
🤣
@felixinit Жыл бұрын
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.
@cageman3012 жыл бұрын
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 Жыл бұрын
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
@cageman301 Жыл бұрын
@@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 Жыл бұрын
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 Жыл бұрын
thanks for sharing your experience. thats why i love the comments to a topic i m interested
@bayastantursaliev7142 Жыл бұрын
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?
@devishaarunadevitiwari398810 ай бұрын
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.
@iremgurek3539 Жыл бұрын
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 !!
@isaaclovesJesus10 ай бұрын
Jesus is your answer to every struggle!! Amen.
@poachedegg33769 ай бұрын
@@isaaclovesJesus bruh
@Mehrwegflasche2 жыл бұрын
25 hours a day are possible on days where you return from daylight saving time to standard time.
@davidmurphy5632 жыл бұрын
Uh-huh
@jamesmoorcroft16142 жыл бұрын
Or if an individual moves from one timezone to another.
@dancl86742 жыл бұрын
Or if you're a daywalker
@typenaturetv47462 жыл бұрын
Or just write a flipping program for a virtual 25 hours day. Jeeezzzz
@anirbanpatra3017 Жыл бұрын
Possible But highly Unlikely.
@ahmetalperenyildirim61842 жыл бұрын
Thanks a lot, I'm working as Data Analyst and this content made it clear for me!
@justanothereconomist1982 жыл бұрын
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.
@juliannelam1492 Жыл бұрын
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!
@Prince-ol5zk5 ай бұрын
Thank God for your knowledge! I will keep watching your video and read these job descriptions. Amazing work!
@NurulIslam-jq9kh2 жыл бұрын
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.
@NCODEXMUSIC2 жыл бұрын
Is the salary good ?
@NCODEXMUSIC2 жыл бұрын
Is the salary good ?
@AviatorHan2 жыл бұрын
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.
@thefourthbrotherkaramazov2452 жыл бұрын
@@AviatorHan 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 Жыл бұрын
@@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
@konnerbaker78862 жыл бұрын
great video! thanks for clearing that up and explaining the various elements of so many different roles in this field! very helpful.
@JourneytoMoneyRich Жыл бұрын
Thanks! Cleared the difference really well!
@samanparsi6187 Жыл бұрын
I like your formal videos much more than fun ones. Thank you.
@AchrafTITO-vl1hi6 ай бұрын
Simple , clear , thanks man
@PhoneNHe Жыл бұрын
very valuable that it helps me to identify what project and skills in what order I have to learn first.
@TobysDataDigest Жыл бұрын
Your videos are a HUGE inspiration!! just started out my own youtube (from my experience as a data analyst) All the best!
@spacexstarbasetexas2 жыл бұрын
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 //
@sevollit922 ай бұрын
it was so clear, thanks so much for the video
@rmm8171 Жыл бұрын
Awesome video exactly what I needed! Thank you!
@abks404kr8 ай бұрын
This was such a helpful video man you are the GOAT
@gleysonoliveira802 Жыл бұрын
Excellent video! The best video on this comparison I've watched
@ezechielamoussou74092 жыл бұрын
Thank you! It's so clear now! You're awesome!
@KorhalKk2 жыл бұрын
That's a very nice explanation, I'd love to see each step in-depth
@hmmok5791 Жыл бұрын
I know zero about tech yet I understood everything you explained. Bravo
@afshinbidar2 жыл бұрын
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
@mohit49022 жыл бұрын
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 Жыл бұрын
@@mohit4902 would CIS be in this category?
@pramesh.gurung Жыл бұрын
@@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.
@SimoneSimiPrins2 жыл бұрын
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!
@agdevoq2 жыл бұрын
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.
@NandinerdeneMandakh4 ай бұрын
😂
@kimeg72942 жыл бұрын
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.
@ianmutuma65642 жыл бұрын
you're right, "unicorn" Data scientist is a thing now.
@mohit49022 жыл бұрын
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
@erickperes0495 Жыл бұрын
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
@well9851 Жыл бұрын
Thank you!! This video helped me a lot about this subject.
@kevinmendoza7208 Жыл бұрын
Thank you for your advise dataiku
@authentic_101 Жыл бұрын
This is a really great video to clarify the various data needs companies usually have, and where each role comes in! Thanks a ton!
@ivakamie35682 жыл бұрын
I have seen many videos for the last few months within this topic, but THIS video is the most comprehensive for now.
@VichoBandido Жыл бұрын
Brilliant explanation! THanks
@r0cketRacoon Жыл бұрын
such a very approachable video!
@billyKOTF2 жыл бұрын
Thanks for the vid, very instructive
@abayutebaev9572 жыл бұрын
Thank you very much for this video!
@ndingere7857 Жыл бұрын
Great video. Thank you!
@kimbleygriffin8058 Жыл бұрын
This was very helpful information; thank you!
@FasxVision Жыл бұрын
This helped a lot, thank you
@jimmybellmon12682 жыл бұрын
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
@veroersincerus Жыл бұрын
This is very informatif, Dude🤩
@MomoDuality2 жыл бұрын
Great video, now I can finally understand and compare different job listings more effectively
@srishtichy6 ай бұрын
So well explained .. thank you!
@Olorunnisola0101 Жыл бұрын
A very good explanation on how to clarify those roles!
@juliantambwe85518 ай бұрын
Right on point , Thx.
@ArmyBlink-jr8ws7 ай бұрын
Thanks for giving all this information.
@yuanjijin57492 жыл бұрын
holy moly need more vids like this
@isaaclovesJesus10 ай бұрын
Jesus loves you!
@digitalnomad2196 Жыл бұрын
Amazing breakdown
@svitlanakomarova9 ай бұрын
Awesome! thank you
@piperogusano2 жыл бұрын
what a great explanation! thank a lot
@КлерХо Жыл бұрын
Very clear!!
@CristianIntriago_ Жыл бұрын
Good vide Joma :)
@mohamedelfelyani8233 Жыл бұрын
AMAZING VIDEO thanx man !!!!!!!
@financiallyfreegenz11 ай бұрын
Great visualization and explaination
@charlesmcdowell94362 жыл бұрын
His sense of humor is legendary, especially on the data logging part.
@Aidan_Au2 жыл бұрын
My fav KZbinr is back!
@saydeeztee Жыл бұрын
The lines very easily get blurred! Thank you for the video!
@hardrod69892 жыл бұрын
the best video ever! on this topic.
@IvanManchur2 жыл бұрын
The only thing I care about when choosing between Data Scientist, Data Analyst & data Engineer is the amount of money i will get doing this job
@har_d_rocks99872 жыл бұрын
Salary structure is like this: Data engineer > data scientist > data analyst
@IvanManchur2 жыл бұрын
@@har_d_rocks9987 Strange, I thought Data scientist would be on top
@dtmdota6181 Жыл бұрын
you get shitty conclusion from shitty data. Thats why data engineer more important
@Amitpatil-g8g4 ай бұрын
Data Engineer role is very important compare than data scientist. Salary is very high compare than other all data roles. You choose data Engineer
@manatahir98702 жыл бұрын
Simple, concise and very good explained👍
@eddieoneil117 Жыл бұрын
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
@deejayrubio69152 жыл бұрын
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.. :)
@mohit49022 жыл бұрын
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.
@danielchong4081 Жыл бұрын
Very good summarise info and helpful.
@lawjeffrey57222 жыл бұрын
Thanks for sharing. Easy to understand.
@JRay2113 Жыл бұрын
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.
@ryono2759 Жыл бұрын
Not really, sometimes discription is just for illustration, the company will ask you to do more or sometimes not related to your scope
@codespector1989 Жыл бұрын
well explained , thank you :)
@SuperHddf2 жыл бұрын
that smooth music at the end really hit me
@felixinit Жыл бұрын
The Data Science Herarchy of Needs. Excelente explicación de las diferentes necesidades y que hace cada rol en estas necesidades.
@yeorj8306 Жыл бұрын
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
@markcampbell1029 Жыл бұрын
3:34 clever
@jamesdials133 ай бұрын
🔥 fire I noticed this too lol I had to rewind to make sure it was correlated to what he was saying that's crazy. Definitely made me click it lol Mario star vibes haha
@syedmohsinraza90552 жыл бұрын
I slept for 48 hours a day and realised it was a dream 😢😢 anything is possible when you are a software engineer, Goodluck guys.
@MrMegafly20112 жыл бұрын
Fantastic video thanks learnt soo much
@hanif36612 жыл бұрын
thanks a lot for this great axplanation 🎉
@YTAhmedYounes3 ай бұрын
Thanks man.
@galactuscodm4559 Жыл бұрын
just 9 letters data for explaination
@javierguardia26192 жыл бұрын
I need to share this video. You have great content, specially for beginners like me. Thanks
@javierguardia26192 жыл бұрын
Sorry for my English
@nzothemage26242 жыл бұрын
Lines are blurry. As a Data Analyst, I’m expected to do some A/B testing, simple regression, data cleaning, and data pipelines along with everything that’s in our slice in that pyramid. But that’s what you want else you won’t grow.
@kimeg72942 жыл бұрын
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.
@eagleeyemind4800 Жыл бұрын
Wow ty for explaining this
@vectoralphaSec Жыл бұрын
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 Жыл бұрын
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
@JohannSiemens852 жыл бұрын
Awesome explanation, even my business analysts brain understood the difference :)
@cemre1437 Жыл бұрын
Thanks!
@sli73122 жыл бұрын
Tremendously helpful! Thanks!
@julie_chen6 ай бұрын
I didn’t know about this channel of you.
@muhammadkhizertariq37792 жыл бұрын
Very easy to understand Informative 👍🏻
@germa66stealthblack10 ай бұрын
awesome!!
@bin4ry_d3struct0r2 жыл бұрын
This video confirms what I've known for a long time: job titles in tech have little meaning. Mine sure as hell doesn't. My dad has two masters degrees in economics and works as a business/data analyst. He is an expert in a software program called SAS, which very few people know how to use. To this day, I'm not sure what he actually does as part of his day to day work.
@Durio_zibethinus2 жыл бұрын
Ask him! Spread his wisdom to us 😆
@kosprov692 жыл бұрын
SAS is pretty much like pandas, as in you can build data pipelines with them. Its just that while python is open sourced, SAS has enterprise support and hence more stable and comes with things like customer support and so on. It is mostly just used in legacy code tho. Nowadays everyone's moving away from SAS.
@sonyadeantonio2 жыл бұрын
Sas is just another code proprietary program for pulling and organizing data. The data sets are typically very large and can be cleaned fairly easily with sas
@jeremiahekott5658 Жыл бұрын
Who else noticed at 3:34 the like button changed colour, cool stuffs
@kid_89292 жыл бұрын
Thanks for the vid
@raymeester78832 жыл бұрын
What the difference between JomaTech and Recall by Dataiku?
@milquiadesherrera7319 Жыл бұрын
Than you man
@ahmadabulafi74932 жыл бұрын
Very helpful. Thanks
@shiholololo10532 жыл бұрын
Joma: ... and see which position is best for...- Me : I WANT IT ALL!
@aye.myatmon4485 Жыл бұрын
Thank you so much Joma oppa. You so handsome in this vd. xd