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.

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.

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

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.

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

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".

That's true. I also think that many of these people are just data analysts

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"

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

Our most recent video is a compilation of nurses we’ve interviewed

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! 🙌

@@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?

It's probably about location

DS career? Build a good Portfolio , u already got the degree!

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.

99% huh?

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).

It's healthy. Only employers don't want compensation to be widely known.

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.

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.

“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

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

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.

Lol python is easy asf

@@looksmatteronly No shit, but not the for average person

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

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.

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.

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.

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!

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.

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.

Whats the definition of "know"? I linkedin contact? A bud of beer? A 4 years at college?

Sending internal sensitive data to a guy in pakistan aint no good idea.

Outsourcing firms do terrible work. Keeping certain functions domesticated is necessary.

Help, whats its a portofolio? I dont understand

Sure. And without 1 too 😊

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.

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.