@@dabocousin In free market there is no such a thing as underpaid. It doesn't matter how much you work or even how much the company relies on you. If you are easily replaced then your salary will be lower. If it will be hard to replace you while your position is important to the business, you can NEGOTIATE higher salary. But at the end, if you will get what you will accept.
Something like 90-95% of DS's have at least a bachelors and about 50% have an MS or higher. Do not delude yourself into thinking you can just do a 3 month bootcamp and get this job without a college degree. The people in this field without degrees are outliers.
I am chemical engineer, and I have a master degree in industrial management, currently I am taking a MIT micromasters in statistics and data science, and the Google certification in advance data analyst do you think that I am in the correct way to earn a lot of money......... I am from Latin America
Agree.I verify this as team lead Deep Learning Engineer and lead SW engineer.I have MEng, National honor award in DS and 3 y of exp in SW to become a real DS
Well I partially agree and partially disagree, because it depends on the company's needs and how deep in knowledge you will need to go. Not all industries and companies have the same needs and not all data scientists need to go very deep with machine learning and algorithms and bla bla. So you are right yes, it is very difficult. But some companies need just some shallow knowledge and a few practical tricks so a person with a 3 month degree could work in that field and get paid well enough. Maybe they shoul not be called real data scientists, perhaps some kind of data techies with a few knowledge lets say? But still they can work and be absorbed and do a few things to help companies. Since the need for data employees is so big, companies accept and absorb people with very little knowledge even if they can solve only half of the company's problems or even the 1/3. I know many people that made it only with a 3 month or 6 month degree. They are not fully educated or have full or deep knowledge and maybe they will not get far or high but they have a job and they help industries and get paid well enough. So I do not agree with you by discouraging young people to follow their dreams. SO MY OPINION IS You won't go far with a 3 month seminar or a bootcamp but still you can get a job (considering that you have a background in maths, ststistics, IT, physics, economics, business e.t.c). Now if you do not have a background or another degree and start out of nowhere yes maybe this will be a problem and I wouldnt suggest to follow this path. But combined with another degree, YES DO IT and follow even a seminar. It will be difficult but it will lead you somewhere and you have many chances of succeeding.
To all the wannabe DS’s: it’s a freaking hard subject. Don’t fool yourself into thinking that by spending 4 months studying or a micro-degree or two, you are a Data Scientist. I have an IT degree and 20 years experience in SQL and tech, and I’m finding it pretty effing hard to break into the field. It’s all mathematical, very analytical, and lots of code and concepts that can send your brain into a spin. You have to be very dedicated and a have knack for math and tech, otherwise don’t fool yourself. This is not a quick and easy buck.
Just because it's hard for you doesn't mean it isn't easy for others. Maybe it's hard for you because you've been in tech for 20 years. Someone with zero reference would find it easier to learn.
@@dec1slh they are right though, especially for boot camps, it's hard for beginners unless they are not busy at all and u have time to practice is. Also they skip a lot of important subjects to finish in short time
One of the data scientists mentioned networking as important, have you consider that route? Maybe more socially display your skillset, it eventually reaches the right market.
@@dec1slh In believe you are mistaken. The real world data is way too complex for people to try to learn it in 4-5 months. Hence why companies pay over 100k for data scientists instead of upskill their own people.
Agreed!. There's a reason why companies usually don't upskill their own people and usually hire expensive data scientist, ml engineers and data engineers.
Take your hardest statistics class, hardest data analytics class, marketing class, python classes, communications class, and consulting internship. That’s what makes a good data scientist
@@maixmm778 Your python DS skills are just a tool, the value of DS is how you find solutions in the market economy with high soft skills to communicate and explain to your boss
I’ve been a data scientist for years. Started as an actuary over 20 years ago, moved the DS abiut 15 years ago (before it was called DS). Some comments here suggest that it won’t be easy to get into the role. I’d say this: how easy or hard it feels comes down to weather you love it. If you love it, you’ll be doing it all the time, building projects, doing kaggle, etc. I’ve interviewed hundreds of folks for DS positions and it was rare to have meaningful portfolios or working interactive websites, etc. if you find they doing all this work is like doing burpees, then you may have chosen the wrong field. You have to love what you do to do really well.
As a second year DS, I totally agree. I did everything to become a DS and after a year it is hard to keep the same momentum and motivation I had before being a DS. I was fantastic with my former consultancy job but oddly enough the salary was still lower than current DS role even if I am doing like very middle level performance. I like my DS role but I don't think I love it and it still gives me more bucks. What should I do?
totally disagree. a lot of people are great at things they don't love and a lot of people are bad at things they love. It is a fact. And more than that it is unfair to demand some actions from other people. Like "you have to love what you do do to really well". Sounds like an insult. As if "go and like what you do or you suck".
"It isn't really about skill or degree it about who you know" facts right there another tech youtuber had said the same connections do matter in this industry.
That's becoming increasingly important. As the industry is getting more competitive, the people who you know can be more valuable than what you know. I know some people who were hired just because they knew the hiring manager even though they had zero experience. It's sad reality 😞
FYI for someone looking into the last part of this vid: R should not be considered a “visualization language” solely. It’s more on par with Python as a general programming language. Visualization packages include Ggplot2 within Tidyverse. Some companies will prefer you use R over python. R is heavily used in research and statistical fields.
People who do not have degrees and are in data science are unicorns. Most Data scientists have at the very least a correlated degree. If you use these examples to justify not getting a degree, there is a very high chance you will never get into the field or it will take a long time. Networking is usually the way most non-degree DS get into the field, but even then it’s rare. Take it from someone who has been on both sides.
I am a Data Scientist, hold a Master’s in AI. Don’t be fooled, it’s extremely hard to get into this field (at least in North America). I am passionate about it but still have job insecurity, fear of having to send a hundred applications to get only one interview But if you love it, go for it! Update: I have now been hired as a permanent employee. Although still there. that insecurity has dramatically reduced.
@@becayebalde3820 Sorry man, but I haven't had any issues securing positions in the the east or west coast of the U.S. . I've met multiple people that had a plethora of offers across cities & states , including some that are abroad. Perhaps try improving your portfolio, networking, or skill sets, as it's very odd not securing positions with a ms.
@@magicagrnub620 if you're referring to a Software Engineering (SWE) or Data Science (DS) role, then things seem to have worked out well for you. However, it appears you may be a bit out of touch with reality. Don’t you see the challenges that even highly skilled individuals may face?
I switched from English teaching to Data Analyst with no related degree and I found a job in about 7 months. I now make 2500€ per month which is a very decent salary in Spain.
Wow! Congrats on a well-paid job! Could you recommend some sources for learning? I mean I am living in Spain not for a long time and am now starting to learn to become a Data Analyst. It would be nice to hear tips and tricks from the person who did it successfully
I got the Google data analyst certification from Coursera. I practiced SQL a lot and applied to many job offers in LinkedIn. In my position I need to speak Spanish, English and German so it was a plus that I'd learnt those languages in the past.
Great content! Anything with data is very hot right now. Even with AI around the corner, I see this industry flourishing years from now. Hope that those of us that try to break into it, make it!
I get what you're probably trying to imply but it makes it sound like you don't know what a data scientist does. Data scientists develop AI... That's why "data is hot"
@@Retired_hag "AI around the corner", we've had the same AI technology for 60 years mate, just that it's gotten to a point where we could make good progression by just throwing tons of hardware at problems.
I work as Data Scientist in Germany. I do not know anyone in this job in Germany without a Masters degree in a relevant field (I think about 30% also have a doctoral degree, me included). The salaries are much lower compared to the US. I think only around 20% of all Data Scientists in Germany make more than 100k and you start with ~50k.
i study software engineering Bachelor’s in Germany rn but i plan to move to the US after graduating. I am interested in data science and it’s my first year at uni. Do u know if finding a job and moving to the US is difficult after getting a degree in Germany? I’m an international student in Germany and i study in German, not English btw.
People who care about degrees more than cold hard skill are the ones that never make it to the top. I would hire a computer scientist that doesnt have any degrees but delivers when sat in front of a computer over any code monkey that studied all kinds of shit that helps them little to nothing for doing what they are paid to do. And this rings true mostly in reality. The best programmers I ever met are the ones that only programmed. And the worst I knew where all flaunting their degrees in various subjects PhDs seen it all. None of them was even as good as the 17 year old kid from Austria who got booted from school.
With all due respect, 99% of today’s Data Scientists is an insult to those who are real scientists. There are real data scientists who are real scientists. But the title is way inflated, know how to write some SQL, Python and R doesn’t mean you are a data scientist.
😅 I don't know how to explain my feelings right now😅😅I have my bachelor degree in computer science since ten years and I still teaching it for five years french language English language, I work for call center from 6am to 11 pm (night), I work HR for two company (without contract just because I need money), last year I did an intensive bootcamp and I still learning till our days.. I did PYTHON, SQL ssis ssms I did power bi for importing modeling and visualisation data and dashboarding... Machine learning ... 😅😅 And I can't even find an opportunity to begin my career 😅 I'm 37 yo 😅 I don't know if I should feel sad or I don't know honestly... Nice to see young people progress ❤ wish to everyone to success, progress and making their skill promoted ❤️❤️
I’ve been in data science for about 5ish years now and one of the rare few that got in without a degree (by networking) but I practically spend my entire free time studying mathematical statistics and have lots of side projects in C/C++ (which has been useful in some situations for writing custom algorithms at work) So just because I made it with no degree doesn’t mean I made it with no work ;) But yeah, networking is literally the best way. You just have to prove yourself to the people you talk to and people will notice
I am a BA / Scrum Master. I only make 105k. Can you help me? What is your email? I would really appreciate some tips on what courses to do and how to land a better job. I literally apply every day and it seems like I am stuck at my current job. I am very motivated to learn just need some pointers. Thanks
This is a helpful video. I agree with another commenter that viewers shouldn’t fool themselves that this is an easy way to land a high paying role. Very analytical, technical, requires a lot of experience. I started out as a technical and quantitative economist with a masters degree and went into DS from there. Background heavy in analysis and stats. With almost 20 years experience. Not an easy field but a sexy one which I think is why so many people focus on it even if they don’t know much about it (including managers).
Most people here are not cut out for this line of work. You need critical thinking skills on top of a foundation of writing and understanding code. Most will give up within a month of trying to understand Python.
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To all the people complaining I’ve got a degree in GIS, still I will not be prejudiced when it comes to self taught employees. They are mostly highly motivated and valuable because of their different backgrounds and sometimes even better employees than others with degrees
@@andrewadami3920 Dude they're not complaining about his degree! 🤦♂ They're complaining about how outsiders with no background in data science will have tough time breaking into it (i would say they're just jealous of people without degrees lol) and this guy/girl @Madmaxskate is saying that your background doesn't really matter in breaking into it because self taught people in this field can give tough competition to those with degrees. I hope you get me
@@anxskhxn Self taught is an asset in a lot of tech fields because things change so fast and you have to be able to cut out the middle man and teach yourself quickly and efficiently to stay on top. Not all, but many people with degrees who I've had to work with need information spoon fed to them because that's how they learned in school. They expect everything to be laid out for them and they flounder when it comes time to enter uncharted waters. They say an hour with a good teacher is worth 100 in self study but I say become a good teacher for yourself and you'll always have that hundred-fold output on tap.
The part about personal projects is definitely true. Companies are not interested to train new entrants; any prospective candidates will have to be able to hit the ground running. That's why, in the absence of work experience, personal projects are the next closest equivalent.
Data Scientists make data models that forecast or predict what might happen in the future based on existing data trends. For example, if you have a website selling products A, B and C, you can use your customer data to study demographics (age, sex, ethnicity, location...etc) on your sales so you can determine what groups of people will likely buy product A, what groups likely will buy product B and C, further to this example: through your data you find that 90% of young males between ages 20-30 purchase your product A then you can create a dedicated marketing plan to target this group through different social media channels, or you can create new/variants of product A (call it A2) and target this group because through your data analysis you predict that the likelihood of this same group buying product A2 is high. This field usually require you to have two sets of skillsets - Data warehousing/storing of the data which uses tools such as Hadoop, SQL and Oracle, and then formulating/calculating/presenting/predicting data which uses different machine-learning software, Tableau/Microsoft PowerBI, SAS, Python..etc.
@@nibabi Market Research can still co-exist with Data Science, the end goal of the two are the same - to reach out to the right market/to create the best product..etc, but the approach might be a bit different, meaning MR is more traditional, it involves less technology, but more human interactions/interviewing/surveying (a more direct approach to search for answers), where as Data Science mostly uses technology (predictive modelling and machine learning programs) to find data trends. Both could be used to help to improve a business - MR is helpful when you start a business because you want to do some research on who your target market is, what consumer find most useful...etc. And then when you have started your business and have established some kind of consumer data history then you use data science to determine your data trends, this would help you to sustain and improve your business (based on concrete actual sales data).
Its sad when you see ppl study hard and dont get well paid , while others dont even have a degree and get so much higher. I wish all the best for everyone but things have to be fair
@sorvex9 well, actually, math indeed helps in data science (ML and AI specifically). Hence, the deep understanding of math is recognizable. PhD in math is not that necessary, however, having PhD in such difficult field proves your capability of doing various researches and having enough math knowledge not only to learn AI and ML, but to develop your own methods, formulas, NN architectures, optimizations and so on....
@@bladerunner9531 The current marvel of AI, the transformer, was made by computer scientists, not math phds. You can sit and ponder about why for a while
It's even more difficult to secure any position if you are in Africa. I have a BSc in Statistics and have learnt so many self taught DS tool but yet to secure even an internship.
I empathise. I'm from Johannesburg, South Africa, and I also have a BSc in Statistics and Computer Science. Even completed a coding bootcamp. Can't get an internship or junior role either despite the fact that I've built several projects. I'm studying again and getting a degree in accounting in 2024. Becoming a chartered accountant is a way more stable career choice in South Africa.
Wow! Interesting to hear your two stories I'm from Dominican Republic and I'm trying to choose a career I'm 17 and I'm thinking in accounting but Data science seems to hot to not choose it, but I'm scared that the same thing happens to me as you. it would help me a lot to have a mentor but all my family members have conventional jobs (accounting, doctor, lawyer, engineer, etc). I guess I'll do accounting and a minor in data science
That woman earning $250k a year (6:05) in a comfy office, or probably working from home, saying she doesn't feel like she is getting compensated enough makes me wonder if she has tried travelling around earth to see what people actually live like.
If you wait to hear what her colleague right after her is making, you’d understand. Or you won’t, bc calling her out when the information was right in front of you anyway says a lot about how you compare men v women saying the same thing. #exposed
@@SalaryTransparentStreet I actually realised that as soon as I posted my comment, because the guy was earning a lot more and STILL complaining about his pay. My comment still stands (not based on sex). However, your response tells me a lot more about you. Thank you.
Very useful video. Although to those who are trying to break into the role, notice how the salary is much lower when they don't have any kind of degree. If you have the role and certificates it might be worthwhile getting a masters degree in order to increase options and flexibility as well as decrease your chances of getting fired if data science has a few rough years (it'll happen, happens in every industry)
Would be interesting if the last 2 interview partners have a relevant degree. I have the hypothesis that people with relevant degrees do have higher chances of landing those higher paid jobs.
Its because all these people and videos are fake, no one even with a business analytics degree is getting a job in Data Science, don't know why all these people are lying
@@Stoneface_I live in L.A. And 245k base would be pretty comfortable. He would probably make more if he moved here or northern California. Probably in the 400-500k income range.
I don't know if these people are for real or even talking about the same Data Science/Machine Learning field that I know or just bluffing.... English and Psychology plus bootcamp will not make you a DS or get you into the door. Maybe Data Entry or Analyst I would say maybe, but Data Scientist and Machine Learning you really need a strong background in Math and Computer Science to be able to make it through.... I don't know what to say here
Definitely! Whenever we find them though, they’re (obviously lol) in uniform! And bc they’re in uniform and usually on the clock, they don’t want to share. But we’ll keep trying! 🙌
Your videos have convinced me to pursue a Master in Data Analytics. My degree is not related to Analytics so I’m not sure if I will get accepted. Fingers crossed 🤞🏼
Yes that will work! Companies will look at your most recent + relevant education and that will qualify you for many jobs. Work on building a strong portfolio too to show your skills with different languages and tools, that will help you stand out in the hiring process 💚
be careful on which program you choose as well, a lot of them are just cash grabs and will not fully prepare you for a data scientist position. You should look into the OMSA program! goodluck!! :)
Hello! as someone who went on from having a B.A. to pursuing MS Data Science, it is totally possible. A GRE with good quant score might help. All the best!
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Easy to make $150-160k if you have a masters/phd in something like comp science, statistics, comp engineering, even electrical engineering as data scientist with a couple years of experience. Also, I'm talking the USA. Overseas, it seems like they don't pay as much even in countries with similar or higher cost of living.
Definitely agree with doing a boot camp, especially if you’re someone who learns better in a classroom environment (aka zoom with a professor). And it’s way cheaper than going back to actual school for sure.
Being able to sell. Sell yourself is underrated and gets folks in the door. Whether that’s selling to your network to give you a referral or a chance to interview.
This is my biggest problem. I have hireable skills but have no way of breaking in right now because I dont know how to market myself and haven't taken the time to practice interviews. From what I see, it seems like a lot of people just assume you will be placed in a roll as soon as you get a degree or certificate.
What people don’t understand is that in order to make 6 figures and break the 100k mark you need years experience in the field of doing the job and therefore you’ll eventually get there. You can’t just expect to get a few certs and do some boot camp and expect employers to give you the job and pay you highly. I’m going to say this but experience trimuph over education and college degrees.
It isn't really about skill or degree it about who you know" facts right there another tech youtuber had said the same connections do matter in this industry.
This kind of video makes me realize just how embarrassingly low the salaries in Europe can be. I'm at the higher end because I work in big tech, but I know highly qualified software engineers who would dream of making 100k.
Those salaries are mid/senior level. Even in most of the top tech companies that’s around mid level. If you listen closely he say’s it’s not just salary (but excluding bonuses). I’m not saying it’s impossible to get 200k+ at entry level but it’s not realistic.
The advice at the end for getting a data science certification isn’t great. The vast majority of ds jobs require a masters degree, and a quantitative one at that. You absolutely need a good understanding of stats and decent programming skills. In this market the cert isn’t worth anything without experience.
Have you considered looking for a remote job? ;) Local jobs, $30k is good in Eastern Europe, but in the heart of Europe that entry level sw dev / engineering position with 1-2 years for experience.
Wendy told Summer that her friend was TOTALLY cool and she is like perfect for the job. Besides the office is sooo boring anyway, she would be *like* great pick for the analyst team, yah.
@@buddyreg234 what does this have to do with anything? that this is just an insane amount of moey?! But european companies mostly make software for businesses (b2b) and not apps for consumers (b2c). Look at SAP for example. But there is no way you could make nearly as much as you make in the us.
Crazy money... I am a programmer in the field of ML. But i earn about 12k dollars per year having a working expirience in 2 years. So... I just believe i will learn English to get a job in a foreign company. I am from Russia, btw. It's so sadly to think about the difference between salaries 😅
Dude, same, I am a Data Engineer making about 10k year. Its so weird seeing those salaries discrepancies. But honestly, I don't wanna move from my country, so I guess its either find a remote job, or stay here as it is
I already have a bachlors in finance. But was from 20 years ago. I have a good job and only 1 of 2 people who are not analys on my team. Thinking of getting a nasters or seeing if i can do some certifications and on the job traing.
A friend in Portugal, with an engineering msc in AI and minor in computer science, made 20k eur/year net value as a data scientist....the guy was a specialist on neural networks...
Eh, forget about American salaries in Europe, even if it is the western block. Particularly if you are talking about Portugal, Spain, Italy and Greece. Msc in materials engineering in northern Italy (let's forget about the south) with an internship at the national council of research landed me a 22k € gross salary job (16k after taxes) and it's considered a decent paying academic path. I'd say 20k € net salary in Portugal is not even bad
@@django3746 I have never been to any of those places in person but from what I know they're all contenders for one reason or another. I guess it depends on lifestyle and the exact place you are considering in each of these countries. But for where I live, they're all hella expensive.
@@RickZanardiIt wasn't, 15 years ago. Today if you account for the impossible housing prices, the long working hours, the over-taxation on every product/service (yes theres more hidden taxes) and inflation, it's crap pay considering its from a job in which you'll be required to have a degree. The question at hand isn't even if its bad considering the crappy country your working in, its simply not fair payment for work that a lot of times is outsourced from nothern european or north-american companies.
Also keep in mind COL in Denver is crazy so wherever COL is high you'll typically have a higher salary. And lastly due to the times we live in and inflation making 100k is the new making 65k.
Do those who actually have a degree earns twice the money i like this 😂 it means we don’t study in university for nothing for 4-6 years because a bootcamp shouldn’t be equal to having a degree
I would actually argue that boot camps are better than a degree. However, this is the same issue universities have, the actual coursework and what you learn that is relevant to the job is important. Bootcamps strip out a lot of the prereq fluff and give you enough to join a company at an entry level from day 1. One of the things I believe a boot camp is REALLY good at is teaching you to learn on your own at a VERY fast pace. If you are a slow learner and cannot learn things a certain rate on the job then you'll likely need to find a slower-paced industry (Industry as in tech -> government for example, and NOT your job title per se). A few things need to be aligned from the start though. Number one is the coursework and curriculum of the boot camp, and number 2 is the drive and/or passion you have as a student. The bootcamp could have a great curriculum but you might not be able to actually utilize the knowledge and learn at that pace. That's okay but as a student, you need to find what works for you. I think boot camps are great, however, a few bad apples ruin the bunch. Plus the student needs to know what they're getting in to and what is expected of them. In conclusion, it's NOT easy just because it's "6 months" or some other short timeframe. You can't judge a boot camp strictly because it's a short time frame. If that's your argument then what if they did a 1 year curriculum or something even longer? I've been a part of all 3 routes (Bootcamp, Self-taught, and college) and I've worked in FAANG. My friends who didn't even know what "Github" was are now working at well-known companies and they all did a 6-month boot camp. However, it's HARD work and it's not for everyone, BUT if you make it through and work your a** off then it can and does work. Before anyone judges boot camp grads and the friends I mentioned, they've been working for those same companies and have been moving up the ladder for the last 3 years (including myself). I've been in this industry for almost 7 years now too. Whatever way you get your knowledge and training for your job is up to you, I fully support all 3 routes, and if you can do the work then that's all that matters. To the people who love to judge, you can feel free to stagnate and stand by the water cooler.
You need to learn continuously the fundamentals to get into DS and explore related domain eg statistics ( linear regression , normal distribution , correlation.etc ...etx probably, sql data strategy, tesorflow, R, python , Math...etc Build project and dont hesitate to enroll in very worthy program available in platform like 365 data science .
If it was called Data Statistican, not many would be interested to pursue in this field, that's the reason why 99% dont get placed, you need to have passion and keep building up the momentum to be successful in this field, one need patience to learn stats, basic maths, python and its libraries, sql, ml, dl
Data scientist can mean a lot of different things - analytics, data conversion, consulting etc etc so don't be limited to what you think younhave to become. Also the the girl or the 4th person was 100% correct
So, basically they're paid to skew data to suit corporations narrative and sell the product. The second they attempt to publish accurate data which shows a product does harm, theyre out of a job.
If a skill can be acquired in a short time, it’s not a high value skill. To be honest, you don’t call someone from a bootcamp a scientist. Totally stunned by the extremely high pay that the US labor market can offer.
Thank you that was super insightful and really interesting. Im looking for a career path that has good pay and this one doesnt seem too difficult from the looks of it
He did say he agrees he's overpaid compared to the overall population. "Not feeling compensated" comes from the fact that other ppl doing the same thing in his company are paid more..
Great video. I'm looking to break into the field of analytics. Do you recommend studying/training for Data Analyst then proceed to Data Scientist? I'm curious on your thoughts?
all these fake DS typically do work more akin to a data analyst than real DS. reality is that you need to have at least an undergrad in CS or DSE (data science and engineering) for actual DS positions and a masters for any advanced high salary roles
I hate when people say they get paid too much. Don’t downplay your skills, working hard means nothing if you don’t have skills. Btw, no such thing as making too much money in our world.
Stick to your current masters. Data science falls under computer science anyway. For specializing, you can just complement your degree with industry recognized certifications outside of school.
Would it be possible to speak to any of the interviewees? One in particular has a very similar path and would be amazing to ask some follow up questions
Good for them sharing, so often people are encouraged ro keep this to themselves and this keeps us all.poor. companies will pay as little as they can. Ive got a degree in IT and currently doing another degree in data science sponsored by my company. Im in the uk and salaries are unfortunately alot less than mentioned on here, as in sub 100 except for top 5-10%
All these people you interviewed are simply outliers in statistics terms. Data Science is nothing without some knowledge of business domain and i can assure you companies don't hire freshers in fact DS is not a fresher's role unless you are a prodigy. Also keep in mind that high pay in DS comes with extremely high job insecurity. Just ask how many of these would still maintain their job after 2-3 yrs. As far as what i have seen masters degree is quite compulsory for lot of DS jobs , ones with bachelors are just Data Analysts calling themselves as DS.
"Within my company i am underpaid, relative to the population i am overpaid"
I really liked that aswer.
So they're underpaid, fullstop.
@@dabocousin In free market there is no such a thing as underpaid. It doesn't matter how much you work or even how much the company relies on you. If you are easily replaced then your salary will be lower. If it will be hard to replace you while your position is important to the business, you can NEGOTIATE higher salary.
But at the end, if you will get what you will accept.
@@dabocousinso here you have received life changing advice, if you are smart.
You are welcome.
Something like 90-95% of DS's have at least a bachelors and about 50% have an MS or higher. Do not delude yourself into thinking you can just do a 3 month bootcamp and get this job without a college degree. The people in this field without degrees are outliers.
I am chemical engineer, and I have a master degree in industrial management, currently I am taking a MIT micromasters in statistics and data science, and the Google certification in advance data analyst do you think that I am in the correct way to earn a lot of money......... I am from Latin America
Agree.I verify this as team lead Deep Learning Engineer and lead SW engineer.I have MEng, National honor award in DS and 3 y of exp in SW to become a real DS
Very cool, very cool 😊
@@GA-se5rkHow are you doing? i'm from Latin America as well, and i'm interested in specializing in this field.
Well I partially agree and partially disagree, because it depends on the company's needs and how deep in knowledge you will need to go. Not all industries and companies have the same needs and not all data scientists need to go very deep with machine learning and algorithms and bla bla. So you are right yes, it is very difficult. But some companies need just some shallow knowledge and a few practical tricks so a person with a 3 month degree could work in that field and get paid well enough. Maybe they shoul not be called real data scientists, perhaps some kind of data techies with a few knowledge lets say? But still they can work and be absorbed and do a few things to help companies. Since the need for data employees is so big, companies accept and absorb people with very little knowledge even if they can solve only half of the company's problems or even the 1/3. I know many people that made it only with a 3 month or 6 month degree. They are not fully educated or have full or deep knowledge and maybe they will not get far or high but they have a job and they help industries and get paid well enough. So I do not agree with you by discouraging young people to follow their dreams. SO MY OPINION IS You won't go far with a 3 month seminar or a bootcamp but still you can get a job (considering that you have a background in maths, ststistics, IT, physics, economics, business e.t.c). Now if you do not have a background or another degree and start out of nowhere yes maybe this will be a problem and I wouldnt suggest to follow this path. But combined with another degree, YES DO IT and follow even a seminar. It will be difficult but it will lead you somewhere and you have many chances of succeeding.
To all the wannabe DS’s: it’s a freaking hard subject. Don’t fool yourself into thinking that by spending 4 months studying or a micro-degree or two, you are a Data Scientist. I have an IT degree and 20 years experience in SQL and tech, and I’m finding it pretty effing hard to break into the field. It’s all mathematical, very analytical, and lots of code and concepts that can send your brain into a spin. You have to be very dedicated and a have knack for math and tech, otherwise don’t fool yourself. This is not a quick and easy buck.
Just because it's hard for you doesn't mean it isn't easy for others. Maybe it's hard for you because you've been in tech for 20 years. Someone with zero reference would find it easier to learn.
@@dec1slh they are right though, especially for boot camps, it's hard for beginners unless they are not busy at all and u have time to practice is. Also they skip a lot of important subjects to finish in short time
One of the data scientists mentioned networking as important, have you consider that route? Maybe more socially display your skillset, it eventually reaches the right market.
@@dec1slh In believe you are mistaken. The real world data is way too complex for people to try to learn it in 4-5 months. Hence why companies pay over 100k for data scientists instead of upskill their own people.
Agreed!. There's a reason why companies usually don't upskill their own people and usually hire expensive data scientist, ml engineers and data engineers.
Take your hardest statistics class, hardest data analytics class, marketing class, python classes, communications class, and consulting internship. That’s what makes a good data scientist
Nope.
lmao what marketing ? communication?! what are you talking about
Statistic = DS .
Taking hard classes can be helpful but it doesn’t “make” a good data scientist.
@@maixmm778 Your python DS skills are just a tool, the value of DS is how you find solutions in the market economy with high soft skills to communicate and explain to your boss
I’ve been a data scientist for years. Started as an actuary over 20 years ago, moved the DS abiut 15 years ago (before it was called DS). Some comments here suggest that it won’t be easy to get into the role. I’d say this: how easy or hard it feels comes down to weather you love it. If you love it, you’ll be doing it all the time, building projects, doing kaggle, etc. I’ve interviewed hundreds of folks for DS positions and it was rare to have meaningful portfolios or working interactive websites, etc. if you find they doing all this work is like doing burpees, then you may have chosen the wrong field. You have to love what you do to do really well.
As a second year DS, I totally agree. I did everything to become a DS and after a year it is hard to keep the same momentum and motivation I had before being a DS. I was fantastic with my former consultancy job but oddly enough the salary was still lower than current DS role even if I am doing like very middle level performance. I like my DS role but I don't think I love it and it still gives me more bucks. What should I do?
How much you make?
What’s an actuary
@@vince11harris someone that calculates risk (ex. how much should an insurance company charge for x person)
totally disagree. a lot of people are great at things they don't love and a lot of people are bad at things they love. It is a fact. And more than that it is unfair to demand some actions from other people. Like "you have to love what you do do to really well". Sounds like an insult. As if "go and like what you do or you suck".
"It isn't really about skill or degree it about who you know" facts right there another tech youtuber had said the same connections do matter in this industry.
This was a gem
That's becoming increasingly important. As the industry is getting more competitive, the people who you know can be more valuable than what you know. I know some people who were hired just because they knew the hiring manager even though they had zero experience. It's sad reality 😞
Do you work in the industry already ?
in all industries thou
that goes for any competitive industry. even in the world of athletics
FYI for someone looking into the last part of this vid: R should not be considered a “visualization language” solely. It’s more on par with Python as a general programming language. Visualization packages include Ggplot2 within Tidyverse. Some companies will prefer you use R over python. R is heavily used in research and statistical fields.
Learn python , SQL and tableau for viz
Good info
data.table master race ✊
Btw You can use R to replace some SQL statements and save insane amount of time
Umm what? R is on par with python as a general purpose programming language?
Bruh what?
Name web frameworks for R
People who do not have degrees and are in data science are unicorns. Most Data scientists have at the very least a correlated degree. If you use these examples to justify not getting a degree, there is a very high chance you will never get into the field or it will take a long time. Networking is usually the way most non-degree DS get into the field, but even then it’s rare. Take it from someone who has been on both sides.
That's true. I also think that many of these people are just data analysts
I am a Data Scientist, hold a Master’s in AI.
Don’t be fooled, it’s extremely hard to get into this field (at least in North America). I am passionate about it but still have job insecurity, fear of having to send a hundred applications to get only one interview
But if you love it, go for it!
Update: I have now been hired as a permanent employee. Although still there. that insecurity has dramatically reduced.
@@DrDillDough oh you think so? You’d be surprised
@@DrDillDough you don't know what you're talking about lol
@@becayebalde3820 Sorry man, but I haven't had any issues securing positions in the the east or west coast of the U.S. . I've met multiple people that had a plethora of offers across cities & states , including some that are abroad. Perhaps try improving your portfolio, networking, or skill sets, as it's very odd not securing positions with a ms.
@@DrDillDoughYou have no idea what you’re talking about. Typical non-tech or low-tech background person talking.
@@magicagrnub620 if you're referring to a Software Engineering (SWE) or Data Science (DS) role, then things seem to have worked out well for you. However, it appears you may be a bit out of touch with reality. Don’t you see the challenges that even highly skilled individuals may face?
I switched from English teaching to Data Analyst with no related degree and I found a job in about 7 months. I now make 2500€ per month which is a very decent salary in Spain.
Wow! Congrats on a well-paid job! Could you recommend some sources for learning? I mean I am living in Spain not for a long time and am now starting to learn to become a Data Analyst. It would be nice to hear tips and tricks from the person who did it successfully
I got the Google data analyst certification from Coursera. I practiced SQL a lot and applied to many job offers in LinkedIn. In my position I need to speak Spanish, English and German so it was a plus that I'd learnt those languages in the past.
@@marianusgarsius9064 What made you want to stop being an english teacher? Spanish teachers are, relatively, well paid, aren’t they?
Great content! Anything with data is very hot right now. Even with AI around the corner, I see this industry flourishing years from now. Hope that those of us that try to break into it, make it!
I get what you're probably trying to imply but it makes it sound like you don't know what a data scientist does. Data scientists develop AI... That's why "data is hot"
@@Retired_hag "AI around the corner", we've had the same AI technology for 60 years mate, just that it's gotten to a point where we could make good progression by just throwing tons of hardware at problems.
@@valizeth4073 if it’s been around for 60 years… then why hasn’t it been in our daily use or access for average people like u and me?
I work as Data Scientist in Germany. I do not know anyone in this job in Germany without a Masters degree in a relevant field (I think about 30% also have a doctoral degree, me included). The salaries are much lower compared to the US. I think only around 20% of all Data Scientists in Germany make more than 100k and you start with ~50k.
i study software engineering Bachelor’s in Germany rn but i plan to move to the US after graduating. I am interested in data science and it’s my first year at uni. Do u know if finding a job and moving to the US is difficult after getting a degree in Germany? I’m an international student in Germany and i study in German, not English btw.
@@iluvgranola2313where do you study
@@sanadmo why do you ask
Idk how some people complain about living in the US in no other country can you have so little education and make so much money
People who care about degrees more than cold hard skill are the ones that never make it to the top. I would hire a computer scientist that doesnt have any degrees but delivers when sat in front of a computer over any code monkey that studied all kinds of shit that helps them little to nothing for doing what they are paid to do. And this rings true mostly in reality. The best programmers I ever met are the ones that only programmed. And the worst I knew where all flaunting their degrees in various subjects PhDs seen it all. None of them was even as good as the 17 year old kid from Austria who got booted from school.
With all due respect, 99% of today’s Data Scientists is an insult to those who are real scientists. There are real data scientists who are real scientists. But the title is way inflated, know how to write some SQL, Python and R doesn’t mean you are a data scientist.
99% huh?
😅 I don't know how to explain my feelings right now😅😅I have my bachelor degree in computer science since ten years and I still teaching it for five years french language English language, I work for call center from 6am to 11 pm (night), I work HR for two company (without contract just because I need money), last year I did an intensive bootcamp and I still learning till our days.. I did PYTHON, SQL ssis ssms I did power bi for importing modeling and visualisation data and dashboarding... Machine learning ... 😅😅 And I can't even find an opportunity to begin my career 😅 I'm 37 yo 😅 I don't know if I should feel sad or I don't know honestly... Nice to see young people progress ❤ wish to everyone to success, progress and making their skill promoted ❤️❤️
It's probably about location
DS career? Build a good Portfolio , u already got the degree!
I’ve been in data science for about 5ish years now and one of the rare few that got in without a degree (by networking) but I practically spend my entire free time studying mathematical statistics and have lots of side projects in C/C++ (which has been useful in some situations for writing custom algorithms at work)
So just because I made it with no degree doesn’t mean I made it with no work ;) But yeah, networking is literally the best way. You just have to prove yourself to the people you talk to and people will notice
Loving this! You have a bright personality and you ask the right questions
I’m a business analyst (software requirements) and I make $250k per year. Easy job.
I am a BA / Scrum Master. I only make 105k. Can you help me? What is your email? I would really appreciate some tips on what courses to do and how to land a better job. I literally apply every day and it seems like I am stuck at my current job. I am very motivated to learn just need some pointers. Thanks
@3:20 my man said DON'T rely on certificates only!!!!!
This is a helpful video. I agree with another commenter that viewers shouldn’t fool themselves that this is an easy way to land a high paying role. Very analytical, technical, requires a lot of experience. I started out as a technical and quantitative economist with a masters degree and went into DS from there. Background heavy in analysis and stats. With almost 20 years experience. Not an easy field but a sexy one which I think is why so many people focus on it even if they don’t know much about it (including managers).
Can you please create a video for product managers, how much they make and how to get into it
Most people here are not cut out for this line of work. You need critical thinking skills on top of a foundation of writing and understanding code. Most will give up within a month of trying to understand Python.
Lol python is easy asf
@@looksmatteronly No shit, but not the for average person
THIS HAS TO BE ONE OF THE MOST WELL ORGANIZED & INFORMATIVE VIDEOS ON INCOME IVE EVER SEEN , IT IS SO WELL ORGANIZED , THANK YOU FOR LISTING THEIR INCOMES IN ORDER IN YOUR BIO , AND THE LIST OF DATA SCIENTIST CERTIFICATES WAS THE ICING ON THE CAKE .............. I HOPE YOU MAKE OVER $20K OFF THIS ONE TH-cam VIDEO
Thank you! Glad it was helpful 💚
To all the people complaining I’ve got a degree in GIS, still I will not be prejudiced when it comes to self taught employees. They are mostly highly motivated and valuable because of their different backgrounds and sometimes even better employees than others with degrees
Why are people complaining about you having a GIS degree? What's their stance?
@@andrewadami3920 Dude they're not complaining about his degree! 🤦♂ They're complaining about how outsiders with no background in data science will have tough time breaking into it (i would say they're just jealous of people without degrees lol) and this guy/girl @Madmaxskate is saying that your background doesn't really matter in breaking into it because self taught people in this field can give tough competition to those with degrees. I hope you get me
@@anxskhxn Self taught is an asset in a lot of tech fields because things change so fast and you have to be able to cut out the middle man and teach yourself quickly and efficiently to stay on top. Not all, but many people with degrees who I've had to work with need information spoon fed to them because that's how they learned in school. They expect everything to be laid out for them and they flounder when it comes time to enter uncharted waters.
They say an hour with a good teacher is worth 100 in self study but I say become a good teacher for yourself and you'll always have that hundred-fold output on tap.
The part about personal projects is definitely true. Companies are not interested to train new entrants; any prospective candidates will have to be able to hit the ground running. That's why, in the absence of work experience, personal projects are the next closest equivalent.
I wish someone explained exactly what it is they do.
Data Scientists make data models that forecast or predict what might happen in the future based on existing data trends. For example, if you have a website selling products A, B and C, you can use your customer data to study demographics (age, sex, ethnicity, location...etc) on your sales so you can determine what groups of people will likely buy product A, what groups likely will buy product B and C, further to this example: through your data you find that 90% of young males between ages 20-30 purchase your product A then you can create a dedicated marketing plan to target this group through different social media channels, or you can create new/variants of product A (call it A2) and target this group because through your data analysis you predict that the likelihood of this same group buying product A2 is high. This field usually require you to have two sets of skillsets - Data warehousing/storing of the data which uses tools such as Hadoop, SQL and Oracle, and then formulating/calculating/presenting/predicting data which uses different machine-learning software, Tableau/Microsoft PowerBI, SAS, Python..etc.
Anyways you are too late to the party, after ChatGPT code interpreter the demand for Data scientists has dropped.
@@Heman88888 Thank you for the in depth explanation. Was this previously known as market research? That’s what I know it as.
If you're a machine learning engineer, the majority of work you do in day might be sourcing and cleansing data for your models
@@nibabi Market Research can still co-exist with Data Science, the end goal of the two are the same - to reach out to the right market/to create the best product..etc, but the approach might be a bit different, meaning MR is more traditional, it involves less technology, but more human interactions/interviewing/surveying (a more direct approach to search for answers), where as Data Science mostly uses technology (predictive modelling and machine learning programs) to find data trends. Both could be used to help to improve a business - MR is helpful when you start a business because you want to do some research on who your target market is, what consumer find most useful...etc. And then when you have started your business and have established some kind of consumer data history then you use data science to determine your data trends, this would help you to sustain and improve your business (based on concrete actual sales data).
Its sad when you see ppl study hard and dont get well paid , while others dont even have a degree and get so much higher. I wish all the best for everyone but things have to be fair
Every actual Data Scientist I’ve met in my 15 years in tech all have had PHDs. Mostly in Math.
“Actual data scientist” Lmfao
Why so?
@@bladerunner9531 Because he doesnt know what he is talking about.
@sorvex9 well, actually, math indeed helps in data science (ML and AI specifically). Hence, the deep understanding of math is recognizable. PhD in math is not that necessary, however, having PhD in such difficult field proves your capability of doing various researches and having enough math knowledge not only to learn AI and ML, but to develop your own methods, formulas, NN architectures, optimizations and so on....
@@bladerunner9531 The current marvel of AI, the transformer, was made by computer scientists, not math phds. You can sit and ponder about why for a while
It's even more difficult to secure any position if you are in Africa. I have a BSc in Statistics and have learnt so many self taught DS tool but yet to secure even an internship.
I empathise. I'm from Johannesburg, South Africa, and I also have a BSc in Statistics and Computer Science. Even completed a coding bootcamp. Can't get an internship or junior role either despite the fact that I've built several projects. I'm studying again and getting a degree in accounting in 2024. Becoming a chartered accountant is a way more stable career choice in South Africa.
Wow! Interesting to hear your two stories I'm from Dominican Republic and I'm trying to choose a career I'm 17 and I'm thinking in accounting but Data science seems to hot to not choose it, but I'm scared that the same thing happens to me as you. it would help me a lot to have a mentor but all my family members have conventional jobs (accounting, doctor, lawyer, engineer, etc). I guess I'll do accounting and a minor in data science
@@haroldisaacreyes262find your way to get employment in another countries, way better studying DS than accounting
What university have you graduated from? If it’s an African one I wouldn’t be so surprised tbh.
Conclusion : without Degree under120K
With Degree: 240 K plus
240k plus is very rare tbh, most make 130-180k range
They all have degrees, well-paid guy has a highly- relevant, probably prestigious graduate degree.
That woman earning $250k a year (6:05) in a comfy office, or probably working from home, saying she doesn't feel like she is getting compensated enough makes me wonder if she has tried travelling around earth to see what people actually live like.
If you wait to hear what her colleague right after her is making, you’d understand. Or you won’t, bc calling her out when the information was right in front of you anyway says a lot about how you compare men v women saying the same thing. #exposed
@@SalaryTransparentStreet I actually realised that as soon as I posted my comment, because the guy was earning a lot more and STILL complaining about his pay. My comment still stands (not based on sex). However, your response tells me a lot more about you. Thank you.
Glad to hear it 💚👋
Oh please they generate millions in revenue for their respective corporations why do you think they just throw money like that at them.
She's living in San Fran where they get paid a little higher than the rest of the US
It's surprising people are willing to share salaries on social platforms😅
It's healthy. Only employers don't want compensation to be widely known.
Very useful video. Although to those who are trying to break into the role, notice how the salary is much lower when they don't have any kind of degree. If you have the role and certificates it might be worthwhile getting a masters degree in order to increase options and flexibility as well as decrease your chances of getting fired if data science has a few rough years (it'll happen, happens in every industry)
Would be interesting if the last 2 interview partners have a relevant degree. I have the hypothesis that people with relevant degrees do have higher chances of landing those higher paid jobs.
This guy makes 245k base in Colorado. That's pretty damn good and he didn't get a bonus nor did he get laid off because of a shaky economy.
Its because all these people and videos are fake, no one even with a business analytics degree is getting a job in Data Science, don't know why all these people are lying
Really good. Though Denver is expensive but not as expensive as LA, NYC or Greenwood village Colorado which is next to Denver 😂
@@Stoneface_I live in L.A. And 245k base would be pretty comfortable. He would probably make more if he moved here or northern California. Probably in the 400-500k income range.
It’s interesting to hear these different perspectives.
I don't know if these people are for real or even talking about the same Data Science/Machine Learning field that I know or just bluffing.... English and Psychology plus bootcamp will not make you a DS or get you into the door. Maybe Data Entry or Analyst I would say maybe, but Data Scientist and Machine Learning you really need a strong background in Math and Computer Science to be able to make it through.... I don't know what to say here
More more more of theses videos on every job in various cities ! Thank you !!!
Cool content. Subscribed.
Would love to see you ask Police / Law enforcement / Fire Fighters their salaries!
Definitely! Whenever we find them though, they’re (obviously lol) in uniform! And bc they’re in uniform and usually on the clock, they don’t want to share. But we’ll keep trying! 🙌
Fast forward. The bubble popped and most of them are laid off.
Your videos have convinced me to pursue a Master in Data Analytics. My degree is not related to Analytics so I’m not sure if I will get accepted. Fingers crossed 🤞🏼
Yes that will work! Companies will look at your most recent + relevant education and that will qualify you for many jobs. Work on building a strong portfolio too to show your skills with different languages and tools, that will help you stand out in the hiring process 💚
@@SalaryTransparentStreet tysm! ❤️
be careful on which program you choose as well, a lot of them are just cash grabs and will not fully prepare you for a data scientist position. You should look into the OMSA program!
goodluck!! :)
@@davidnguyen1584 OMSA is actually the program I applied to. I heard so many good things about it.
Hello! as someone who went on from having a B.A. to pursuing MS Data Science, it is totally possible. A GRE with good quant score might help. All the best!
Very interesting content. I was wondering if you had any content, or perhaps will soon, on physician assistants/nurse practitioners/nurses. Thank you again for the beneficial video.
Our most recent video is a compilation of nurses we’ve interviewed
Easy to make $150-160k if you have a masters/phd in something like comp science, statistics, comp engineering, even electrical engineering as data scientist with a couple years of experience. Also, I'm talking the USA. Overseas, it seems like they don't pay as much even in countries with similar or higher cost of living.
Definitely agree with doing a boot camp, especially if you’re someone who learns better in a classroom environment (aka zoom with a professor). And it’s way cheaper than going back to actual school for sure.
Being able to sell. Sell yourself is underrated and gets folks in the door. Whether that’s selling to your network to give you a referral or a chance to interview.
This is my biggest problem. I have hireable skills but have no way of breaking in right now because I dont know how to market myself and haven't taken the time to practice interviews. From what I see, it seems like a lot of people just assume you will be placed in a roll as soon as you get a degree or certificate.
What people don’t understand is that in order to make 6 figures and break the 100k mark you need years experience in the field of doing the job and therefore you’ll eventually get there. You can’t just expect to get a few certs and do some boot camp and expect employers to give you the job and pay you highly. I’m going to say this but experience trimuph over education and college degrees.
2:12 I didn't know Chris Evans was a Data Scientist
It isn't really about skill or degree it about who you know" facts right there another tech youtuber had said the same connections do matter in this industry.
Whats the definition of "know"? I linkedin contact? A bud of beer? A 4 years at college?
This video was dope. I might get into data science. I'm on the path to get a BS in Software Engineering
This kind of video makes me realize just how embarrassingly low the salaries in Europe can be. I'm at the higher end because I work in big tech, but I know highly qualified software engineers who would dream of making 100k.
These salaries are so ridiculously overblown holy shit
I’m curious where that $245k & $300k guys works 😳
Most likely Faang companies
Top tech companies or startups
Those salaries are mid/senior level. Even in most of the top tech companies that’s around mid level. If you listen closely he say’s it’s not just salary (but excluding bonuses). I’m not saying it’s impossible to get 200k+ at entry level but it’s not realistic.
@@nosam1998 you're right ✅️
Said he works in crypto.
The dude has a masters degree, so definitely above bootcamps or a bachelors degree.
The advice at the end for getting a data science certification isn’t great. The vast majority of ds jobs require a masters degree, and a quantitative one at that. You absolutely need a good understanding of stats and decent programming skills. In this market the cert isn’t worth anything without experience.
???: I'm gonna be a data scientist after a boot camp!😎
Me: You mean a data ANALYST.🙄
Bear in mind this is New York, so you're going to see some of the highest salaries on earth for these positions, it's on a par with San Fran.
$100,000 is great for Chicago. It is definitely possible to purchase a house with that and sustain oneself.
Are these salaries net income or without tax ? If these are gross salary then what is the tax rate ?
@@Muhammed1884 probably gross. For some reason everyone in the us says the gross instead of net.
He was a business student and then took a bootcamp and now is earning 110k... What a life
This is really great content
Helps a lot in opening you to more reality choices regarding the job/work world.
But In germany you can not land a job without degree even if you do garbage collection.
Meanwhile rural European me who can't even dream of ever making 30k 💀
Have you considered looking for a remote job? ;)
Local jobs, $30k is good in Eastern Europe, but in the heart of Europe that entry level sw dev / engineering position with 1-2 years for experience.
Amazing that after one boot camp you can call yourself a scientist.
Sure. And without 1 too 😊
R is not a visualisation tool, it's a programming language.
Wonder how they got the job😂
Wendy told Summer that her friend was TOTALLY cool and she is like perfect for the job. Besides the office is sooo boring anyway, she would be *like* great pick for the analyst team, yah.
for an european this is just complete insanity... 250k "I DONT REALLY FEEL COMPENSATED".. thats just crazy
Which europian IT companies do you have? Cos I cannot name any app on my phone. Canonical ?
@@buddyreg234 what does this have to do with anything? that this is just an insane amount of moey?! But european companies mostly make software for businesses (b2b) and not apps for consumers (b2c). Look at SAP for example. But there is no way you could make nearly as much as you make in the us.
@@Maute_ I’m almost certain they all tell the amount before taxes.
Crazy money... I am a programmer in the field of ML. But i earn about 12k dollars per year having a working expirience in 2 years. So... I just believe i will learn English to get a job in a foreign company. I am from Russia, btw. It's so sadly to think about the difference between salaries 😅
Dude, same, I am a Data Engineer making about 10k year. Its so weird seeing those salaries discrepancies. But honestly, I don't wanna move from my country, so I guess its either find a remote job, or stay here as it is
Сравнил жопу с пальцем. В России 100к в месяц - это круто
We need one of these for accountants
I already have a bachlors in finance. But was from 20 years ago. I have a good job and only 1 of 2 people who are not analys on my team. Thinking of getting a nasters or seeing if i can do some certifications and on the job traing.
A friend in Portugal, with an engineering msc in AI and minor in computer science, made 20k eur/year net value as a data scientist....the guy was a specialist on neural networks...
Eh, forget about American salaries in Europe, even if it is the western block. Particularly if you are talking about Portugal, Spain, Italy and Greece.
Msc in materials engineering in northern Italy (let's forget about the south) with an internship at the national council of research landed me a 22k € gross salary job (16k after taxes) and it's considered a decent paying academic path.
I'd say 20k € net salary in Portugal is not even bad
@@RickZanardi how’s the life cost in the us look like. Is it even higher than in Switzerland and Denmark?
@@django3746 I have never been to any of those places in person but from what I know they're all contenders for one reason or another. I guess it depends on lifestyle and the exact place you are considering in each of these countries. But for where I live, they're all hella expensive.
@@RickZanardiIt wasn't, 15 years ago. Today if you account for the impossible housing prices, the long working hours, the over-taxation on every product/service (yes theres more hidden taxes) and inflation, it's crap pay considering its from a job in which you'll be required to have a degree. The question at hand isn't even if its bad considering the crappy country your working in, its simply not fair payment for work that a lot of times is outsourced from nothern european or north-american companies.
Their salaries are incredibly high. Feel stupid to work in Japan
Actually R is not a visualization tool. It’s a programming language like Python. Please do take some care in sharing the thoughts
Also keep in mind COL in Denver is crazy so wherever COL is high you'll typically have a higher salary. And lastly due to the times we live in and inflation making 100k is the new making 65k.
3:00 This is the most important thing
Do those who actually have a degree earns twice the money i like this 😂 it means we don’t study in university for nothing for 4-6 years because a bootcamp shouldn’t be equal to having a degree
I would actually argue that boot camps are better than a degree. However, this is the same issue universities have, the actual coursework and what you learn that is relevant to the job is important. Bootcamps strip out a lot of the prereq fluff and give you enough to join a company at an entry level from day 1. One of the things I believe a boot camp is REALLY good at is teaching you to learn on your own at a VERY fast pace. If you are a slow learner and cannot learn things a certain rate on the job then you'll likely need to find a slower-paced industry (Industry as in tech -> government for example, and NOT your job title per se). A few things need to be aligned from the start though. Number one is the coursework and curriculum of the boot camp, and number 2 is the drive and/or passion you have as a student. The bootcamp could have a great curriculum but you might not be able to actually utilize the knowledge and learn at that pace. That's okay but as a student, you need to find what works for you.
I think boot camps are great, however, a few bad apples ruin the bunch. Plus the student needs to know what they're getting in to and what is expected of them.
In conclusion, it's NOT easy just because it's "6 months" or some other short timeframe. You can't judge a boot camp strictly because it's a short time frame. If that's your argument then what if they did a 1 year curriculum or something even longer? I've been a part of all 3 routes (Bootcamp, Self-taught, and college) and I've worked in FAANG. My friends who didn't even know what "Github" was are now working at well-known companies and they all did a 6-month boot camp. However, it's HARD work and it's not for everyone, BUT if you make it through and work your a** off then it can and does work. Before anyone judges boot camp grads and the friends I mentioned, they've been working for those same companies and have been moving up the ladder for the last 3 years (including myself). I've been in this industry for almost 7 years now too. Whatever way you get your knowledge and training for your job is up to you, I fully support all 3 routes, and if you can do the work then that's all that matters. To the people who love to judge, you can feel free to stagnate and stand by the water cooler.
I'm becoming a data scientist.
Thank you for making the video
In Italy you would earn a THIRD of that for being a Data Scientist
Did anyone actually read the requirements of the certifications? Some are definitely not for everyone. 10 years experience, master's degrees,...
You need to learn continuously the fundamentals to get into DS and explore related domain eg statistics ( linear regression , normal distribution , correlation.etc ...etx probably, sql data strategy, tesorflow, R, python , Math...etc
Build project and dont hesitate to enroll in very worthy program available in platform like 365 data science .
If it was called Data Statistican, not many would be interested to pursue in this field, that's the reason why 99% dont get placed, you need to have passion and keep building up the momentum to be successful in this field, one need patience to learn stats, basic maths, python and its libraries, sql, ml, dl
Well, that is in US...In Greece for example, the starting DS salary is about 900€ net per month. There are no such salaries everywhere in the world.
Data scientist can mean a lot of different things - analytics, data conversion, consulting etc etc so don't be limited to what you think younhave to become. Also the the girl or the 4th person was 100% correct
So, basically they're paid to skew data to suit corporations narrative and sell the product. The second they attempt to publish accurate data which shows a product does harm, theyre out of a job.
Very professionally done 😊
If a skill can be acquired in a short time, it’s not a high value skill. To be honest, you don’t call someone from a bootcamp a scientist. Totally stunned by the extremely high pay that the US labor market can offer.
Thank you that was super insightful and really interesting. Im looking for a career path that has good pay and this one doesnt seem too difficult from the looks of it
great video! I have a question: are people with a non technical background underpaid in comparison to people with technical background?
How do you say I’m not well compensated when he’s earning 300k plus 100k that’s crazy
He did say he agrees he's overpaid compared to the overall population.
"Not feeling compensated" comes from the fact that other ppl doing the same thing in his company are paid more..
Great video. I'm looking to break into the field of analytics. Do you recommend studying/training for Data Analyst then proceed to Data Scientist? I'm curious on your thoughts?
The astounding audacity of being on $200k and still feeling like you're not fairly compensated 😅
A "data scientist" that majored in English. Of course.
Why are there people on here arguing about maths? Nobody is going to look badly on someone with a maths degree if they can also do what is needed.
Do make a video like this on business analysts.
all these fake DS typically do work more akin to a data analyst than real DS. reality is that you need to have at least an undergrad in CS or DSE (data science and engineering) for actual DS positions and a masters for any advanced high salary roles
I hate when people say they get paid too much. Don’t downplay your skills, working hard means nothing if you don’t have skills. Btw, no such thing as making too much money in our world.
Respected Mam, thank you sooooooooooo much. The video is precious❤
You could add this video to the tech playlist the channel have 🙂
Wow amazing video you got a new subscriber
I'm enrolled for a computer science masters this fall, but I'm thinking of switching to Data Science. There are so many jobs right now!
Stick to your current masters. Data science falls under computer science anyway. For specializing, you can just complement your degree with industry recognized certifications outside of school.
@@850393 what are some recognized certifications?
@@850393This! The math and algo knowledge that comes with the CS degree will take you a long way
I wanted to give this a try but I'm really not fond of statistics. I tried it before and I almost feel asleep studying 😅
Would it be possible to speak to any of the interviewees? One in particular has a very similar path and would be amazing to ask some follow up questions
Good for them sharing, so often people are encouraged ro keep this to themselves and this keeps us all.poor. companies will pay as little as they can.
Ive got a degree in IT and currently doing another degree in data science sponsored by my company. Im in the uk and salaries are unfortunately alot less than mentioned on here, as in sub 100 except for top 5-10%
Help, whats its a portofolio? I dont understand
All these people you interviewed are simply outliers in statistics terms. Data Science is nothing without some knowledge of business domain and i can assure you companies don't hire freshers in fact DS is not a fresher's role unless you are a prodigy. Also keep in mind that high pay in DS comes with extremely high job insecurity. Just ask how many of these would still maintain their job after 2-3 yrs. As far as what i have seen masters degree is quite compulsory for lot of DS jobs , ones with bachelors are just Data Analysts calling themselves as DS.