For someone who is getting serious with data as a career choice, your channel is very helpful and your video quality has improved a lot. Very insightful content..
Do you have a video on how someone beginning their data journey with SQL and Python can find practice questions/projects that can sharpen their skills. These projects can be either free or paid.
Thank you so much, I'm so appreciated of this. Regarding the practice questions/ projects, I'm creating exactly these as part of my new Python for DS/AI projects course. I expect to be launching it in a few weeks 🎉
At 2022, i started to research about data roles and your videos was so inspiring for me, now im working as a machine Learning engineer, and is great to back to see you @Thu Vu, thank you so much. All that you mentioned in this video is true, i love the line that separates the Machine Learning engineer and AI engineer, is the API line, its really true and funny. But i´d like to add something focused on ML engineers. The maths, the back propagation, the kmean models and the metrics of finetunning is so usefull to understand how works the ML and DL models, derivatives is everything. Thank you so much @Thu Vu.
Prompt engineering is hot right now but trust me, that demand is transitory. In the future, LLMs will be sophisticated enough that prompt engineering will not be required. Instead spend more time learning foundational machine learning skills beyond LLMs and prompts. Build deep domain knowledge in an industry or business segment. There is a huge demand for people who have the technical skills and the business domain expertise, and this demand will continue to grow in the foreseeable future.
Exactly. Been building a small business with a team of ‘business excellence’ guys coupled with tech guys. Works perfectly (most of the times tech guys start appearing only after like 3-4 months in the project)
I didn't go over the entire video, but I can tell you this: Every Tom, Jane, and Julietta nowadays know or claim to know Python and SQL, and the ratio is totally off. For every job that requires a Python person, there are about 2000 claimers for that job. It is no longer about knowing things; there is a lot more in play, including favoritism and other factors that may not be fair.
Suggesting to learn SQL and python to find data jobs is very similar to telling people to do "Self improvement" to find partners lol. When you have almost everyone who is self improving, at some point they will reach a ceiling that cannot be surpassed, at which point, genetics, favoritism, biases etc all play more important roles than your knowledge or hard work.
@@Ghostrider-ul7xn having the skills is the bare minimum. its much more important to bullshit your way to get a job. like in dating, being bold and confident, overselling your self goes a long way
Interviewer: are you proficient in python? Interviewee: No, I am intermediate...but don't worry, I work all the time with my AI assistant who is proficient in python. I am proficient in domain knowledge though.
In this day and age, networking while having a decent portfolio is just about the only way to enter this kind of job market. Trying on my own I easily spent a year looking. All I had to do was mention something to my brother, who knew someone in a nice position at a nice company, and bam the next day I spoke to the guy in person and landed an internship without him even properly looking into me. Welcome to 2024, where hard work sometimes means absolutely nothing when you know the right people...now I get to fight imposter syndrome instead of looking for a job haha (communication skills can help you bypass a lot of tough things too though. My ability to relate to people and keep things easy and fun are probably the only reason the guy didn't decide to look further into me after we met in person, and I've had other family members who are in 'hiring' positions say the same. I'm considered academically stupid and bottom-of-the-barrel, but being a great communicator singlehandedly changed all that. Obviously there's quite a bit of luck in play with all that, just so whoever is reading this doesn't feel deceived lol.
As a software developer & data analyst, I am confident that data jobs won't be replaced easily comparing to software jobs. Data analysis requires more intense attention. I can write poor code when I am underslept, it would still work but it won't be the best practise. When I am underslept, one simple mistake in data analytics results in very important metrics being calculated wrongly, making the whole report useless sometimes. One comma, one number destorys the report.
@@eto38581 I have a masters degree in Demography and Social Statistics so I have a good understanding of data. My question is, is Data science tougher to learn than software engineer? Should I stick with data analysis?
@@eto38581 really CS degree?? I have BBA and MBA i wanted to be a data analyst i am a fresher right now.. there is no much companies that hires for data analyst
Lovely and insightful video as usual Thu. About job and job data, I think also that one of the problems is that companies in specific sectors that are a bit behind in terms of Data strategy/data savvy(like the financial and investment sector/s for example) they post job profiles and job specs that include 1000000 skills requested because they don't have clear the type of profile they want so they look (again, this is a very simplified example.. to try to be short in the comment) for people that have technical skills (coding, SQL, statistics, math) , business domain, data interpretation and data storytelling skills and also skills on how to talk to key stakeholders and management. So people are sometimes afraid to apply because they cannot have all these skills at the same time. They are confused and they demotivate some people to apply. Sorry for the long post
You're absolutely right, this is a problem in the industry. I recently read the book "The Big Con" and it has very eloquently pointed out that many companies/ organisations turned to consulting firms and pay a ton because they have no clue what to do and what kind of expertise they need 😅
I saw ppl who call themselves data analysists and all they do is watch football match and count the number of touches a player has during the game and they keep reporting that to a cloud server which TV stations use. Many others are also doing the same job tracking the other players from the same game.
1. Data jobs are not affected by recent lay off 2. Python, SQL, AWS,Azure, Spark, Tableau remains the tops skills to learn. 3. AI engineers for LLM more than ML engineers. 4. Freelancing 5. Low code tools.
Been working with data for 3-4 years now. I mainly use sql. Okay I do use python sometimes for pivot tables, and if I am too lazy to start turning a csv/excel file into a table in a database. I really don't understand what is the benefits of writing sql commands in python? querying directly on the database is much faster, and you don't have to deal with a sht ton of csv/excel files on your laptop. and okay you might have some cool libraries and for webscraping beautifulsoup is amazing But why would you write sql commands in python? Can you give me one good reason to why I should start writing sql commands in python? I think this whole idea doesn't make sense to me.
Chào Thu, video của bạn làm rất hay và bổ ích. Vương có công ty làm về phần mềm và marketing ở Houston Texas, Vương muốn nhờ bạn làm consultant mảng data và Ai cho cty Vương. Làm sao để Vương có thể liên lạc được với bạn.
Hello Thu, I am an international student in Canada pursuing CS and currently in my fourth year, I am working on my Data portfolio to get into DS. I am doing a QA internship, I thought that my QA exp wouldn't contribute much to my profile as a Data professional, but your video has broadened my view a lot and provided insightful points into the field's trend. It is hard right now to get a foot in the door, but I won't give up on my DS goals. Thank you so much and wish you all the best on growing your channel.
Wow Thu this is very insightful and a well done video. Thanks for creating! I appreciate your video is informative and well-researched! There are a lot of DS/ML/AI clickbait videos but this video was truly great information end to end. Subscribing now!
your videos have helped me become a much more disciplined trader. thank You for all the valuable advice! your strategy is a game-changer. I can't thank you enough for sharing it with us!
Good analysis...👍However it's definitely worth adding a regional context to the data... Are the trends US vs Europe Vs rest of the world... How do the trends differ across regions etc...
Hi, I'm in the process of getting admission in MSc in IT for Business Data Analytics from IBS Budapest. I'm keen to get a Job in the same area, what should I do and what should I learn from the beginning? I'm a Digital Marketing professional and you know it's saturated and with fewer Jobs. Thanks 👍
The problem with no-code or low-code things is that you would have no idea how to assess the work's quality. The output might look somewhat cool but it might not be the correct answer.
Im a recruiter specializing in data and AI roles specifically in the BFSI space. I appreciate her analysis. Let me add one piece of advice. Companies want data employees to show they can last at an employer longer than 18 months. Stop the job hopping. I know too many highly talented unemployed people that moved too much. Now they are in trouble willing to take whatever they can
Thanks for reminding us that the fundamentals matter even in a changing market. Focus on your skills, build a strong portfolio and network! That's the winning combination. 👍
Hi, I am from Brazil. I love coding. I course statistics and have master degree in Public Health. I work with Python, R, SQL and C++, but here We have so little oportunity. I was working in a hospital, but was laid off. I would like go abroud to have more oportunities.
I’m taking a Data Analytics and Regression course in the fall as part of my master’s program, where I’ll be learning R. To make the most of the course, I’m planning to learn R over the summer. Given my goal, would you still recommend starting with Python?
The skills are pretty transferable. I learned R first which made learning Python easy. Your time investment depends on which one you prefer and where you expect to work.
@@jurassicthundereither way the economy has to shift because people are much more productive compared to previous decades, yet the job market and salary is not scaling with the amount of work people do.
I think that managing a spreadsheet (eg Excel) is and will be necessary. An essential part of data work is to make short-scale proofs in every step of the cycle, and Excel is the best tool for do that due to its capability for manage essay and error tests. But it's an "internal-use" tool: the product that you deliver is never an Excel file. I guess that is the reason for its "low-demand"
Thank you for great contributions to the community and make me realise to contribute something to the community. So I started recently contributing to the community with SQL interview preparation, problem and solution series. Soon I will contribute many Thank you.
Hi, Thu Vu just wonder what is application name that you use for workflow of project. If i am not wrong on one of your videos you used it to know who work on what and make revision on project, drag and drop based on status task. I really want to know and I need it. I would really appreciate yor help. Thank you.
Thanks for the video, plethora of information I get from your channel, you mentioned you did a project involving pyspark with load balancing / partitioning, would there be a dedicated video / course that you would recommend on this? Thanks in advance 🙏
How are we avoiding duplicate, triplicate and even quadruple postings of the same job being counted?? I am not convinced we have a “real” and true count of job postings; especially with 3rd party job sites popping up and then ending up on sites like Indeed.
Another thing is...Tech Companies are no longer paying 200k plus salaries..like handing out confetti....those days are gone. Seen so many people on TH-cam boasting about their easy work life and tech stock options and even turning it down and wanting more. Hubris....
Very useful indeed! Thank you so much for creating this video Thu Vu. Great content!👍 Excited to have found your channel. I plan to be an avid visitor of your channel for sure.
I am a seasoned data professional and I can tell you that I want to be a peasant, leave these jobs and live as peacefully as I can very far from the city growing vegetables and fruits.
What do you think of Berkeley's Data Science program? It's cool that they're opening a new College of Data Science and Statistics to expand the program.
People saying that ML won’t displace programmers are brain dead. What the hell do you think NLP is for? It’s for lay people. Between AI and NLP you won’t need specialists. Just prompt the machine and it will build what you need.
Hi Thu, I am a Financial Advisor learning programming to enhance my analysis! I love your channel! I am launching my podcast to teach financial literacy to diverse communities next month! I know it may be confidential but I love your B-roll / background edits I have been trying to find an editor for so long. Could you point me in the direction of your editor or ai you use? I do not mind paying for this information!
Hey your video is very informative, can you tell me how a fresher can become data scientist, mean recruiter are prefering experienced one first.so how to get into this feild.?
Why the first 10 seconds, "my job might not be as safe as I thought"? So much fear mongering in data videos. I image most people don't get through the whole video and that intro is what people remember. Headline "Save your career!" also triggers people's fear.
![ทางเดินชีวิต - ธีเดช ทองอภิชาติ x อ.ไข่ มาลีฮวนน่า [Official MV]](http://i.ytimg.com/vi/1f3wcG16dd4/mqdefault.jpg)
Hey there, thank you for watching! Check out the full data report in Datalore 👉 jb.gg/datalore-notebook
Wow, thanks for sharing the notebook! This is going to be super helpful for practicing data science reports
1 - Be Good / 2 - Have a strong Portfolio / 3 - Network.
Perfect!
Thank you! I'd like to tip you 13 minutes!
how do you network in this field?
@@GoodByeSkyHarborLive beg and lick peoples shoes
❤
For someone who is getting serious with data as a career choice, your channel is very helpful and your video quality has improved a lot. Very insightful content..
Do you have a video on how someone beginning their data journey with SQL and Python can find practice questions/projects that can sharpen their skills. These projects can be either free or paid.
Thank you so much, I'm so appreciated of this. Regarding the practice questions/ projects, I'm creating exactly these as part of my new Python for DS/AI projects course. I expect to be launching it in a few weeks 🎉
@@Thuvu5 Great.. Looking forward to your course. Can't wait.
@@Thuvu5 so learning python for DS/AI will be very different than learning for programming/CS?
is it on TH-cam?@@Thuvu5
I really admire your channel, Thu! Wish you great health to keep up the great work!
Aw I appreciate that! Thank you for watching, wish you all the best too! 🤗
At 2022, i started to research about data roles and your videos was so inspiring for me, now im working as a machine Learning engineer, and is great to back to see you @Thu Vu, thank you so much. All that you mentioned in this video is true, i love the line that separates the Machine Learning engineer and AI engineer, is the API line, its really true and funny. But i´d like to add something focused on ML engineers. The maths, the back propagation, the kmean models and the metrics of finetunning is so usefull to understand how works the ML and DL models, derivatives is everything. Thank you so much @Thu Vu.
Wow that’s awesome! Congrats on your journey 🎉. Thanks for sharing your thoughts!
Prompt engineering is hot right now but trust me, that demand is transitory. In the future, LLMs will be sophisticated enough that prompt engineering will not be required.
Instead spend more time learning foundational machine learning skills beyond LLMs and prompts. Build deep domain knowledge in an industry or business segment. There is a huge demand for people who have the technical skills and the business domain expertise, and this demand will continue to grow in the foreseeable future.
Could you elaborate more please about the deep domain knowledge ...
DSPy is already changing the field
Exactly. Been building a small business with a team of ‘business excellence’ guys coupled with tech guys. Works perfectly (most of the times tech guys start appearing only after like 3-4 months in the project)
@@nada-bz1pghe just wanted to sound smart 🤓 he thinks we all can be amongst the elites.
Feel free to elaborate and provide specific job roles/titles.
I didn't go over the entire video, but I can tell you this: Every Tom, Jane, and Julietta nowadays know or claim to know Python and SQL, and the ratio is totally off. For every job that requires a Python person, there are about 2000 claimers for that job. It is no longer about knowing things; there is a lot more in play, including favoritism and other factors that may not be fair.
Suggesting to learn SQL and python to find data jobs is very similar to telling people to do "Self improvement" to find partners lol. When you have almost everyone who is self improving, at some point they will reach a ceiling that cannot be surpassed, at which point, genetics, favoritism, biases etc all play more important roles than your knowledge or hard work.
Better join Army. Even if you die you won't regret it.
@@Ghostrider-ul7xn what do u suggest to improve the chances ?
I have the same thoughts. Everyone claims they know Python, SQL, Tableau, etc. so this piece of advice is not really helpful.
@@Ghostrider-ul7xn having the skills is the bare minimum. its much more important to bullshit your way to get a job. like in dating, being bold and confident, overselling your self goes a long way
Interviewer: are you proficient in python?
Interviewee: No, I am intermediate...but don't worry, I work all the time with my AI assistant who is proficient in python. I am proficient in domain knowledge though.
Raising chickens is so relaxing. They give you eggs too.
by the time we get the grip of AI and start applying for jobs, there will be another skill that will supersede AI 😂
Not really. At the end of the day it's all math, programming and statistics
Is it☹️
@@PavithraGH30 hey don't get discouraged. i was just kidding. anything that you learn will be useful in the future 😊
Thank you for your extensive and deep research and then sharing it!!
This was a great post. It always amazes me how persons on UK give their time to post such great content.
In this day and age, networking while having a decent portfolio is just about the only way to enter this kind of job market. Trying on my own I easily spent a year looking. All I had to do was mention something to my brother, who knew someone in a nice position at a nice company, and bam the next day I spoke to the guy in person and landed an internship without him even properly looking into me. Welcome to 2024, where hard work sometimes means absolutely nothing when you know the right people...now I get to fight imposter syndrome instead of looking for a job haha
(communication skills can help you bypass a lot of tough things too though. My ability to relate to people and keep things easy and fun are probably the only reason the guy didn't decide to look further into me after we met in person, and I've had other family members who are in 'hiring' positions say the same. I'm considered academically stupid and bottom-of-the-barrel, but being a great communicator singlehandedly changed all that. Obviously there's quite a bit of luck in play with all that, just so whoever is reading this doesn't feel deceived lol.
Python and SQL are 👑
Great research, Thu! 🙌
Thanks Luke ❤️. Thank you for creating such a valuable job database for us data nerds 🎉
Girl, I'm a Data Scientist myself, but still new in the field. I didn't know I needed this video! Thanks for sharing❤
Great to hear! Thanks for watching 🤗
Hi
As a software developer & data analyst, I am confident that data jobs won't be replaced easily comparing to software jobs. Data analysis requires more intense attention. I can write poor code when I am underslept, it would still work but it won't be the best practise. When I am underslept, one simple mistake in data analytics results in very important metrics being calculated wrongly, making the whole report useless sometimes. One comma, one number destorys the report.
Which one is easier to grasp between software engineer and data analysis or scientist
@@OluwajuwonloOWOJORI get a CS degree first. you will be able to do all of them. don't even bother without a degree at this point.
@@eto38581 I have a masters degree in Demography and Social Statistics so I have a good understanding of data. My question is, is Data science tougher to learn than software engineer? Should I stick with data analysis?
@@eto38581 really CS degree?? I have BBA and MBA i wanted to be a data analyst i am a fresher right now.. there is no much companies that hires for data analyst
This is a much-needed info Thu, Thanks for making this💯💯💯
Thanks for such an informative video Thu. Thanks for making the points too clear. Now I feel good about looking into the job market.
Amazing analysis Thu! I really admire your amazing insights ❤
I just discovered your channel, and your content is clean ! Cheers
Lovely and insightful video as usual Thu. About job and job data, I think also that one of the problems is that companies in specific sectors that are a bit behind in terms of Data strategy/data savvy(like the financial and investment sector/s for example) they post job profiles and job specs that include 1000000 skills requested because they don't have clear the type of profile they want so they look (again, this is a very simplified example.. to try to be short in the comment) for people that have technical skills (coding, SQL, statistics, math) , business domain, data interpretation and data storytelling skills and also skills on how to talk to key stakeholders and management. So people are sometimes afraid to apply because they cannot have all these skills at the same time. They are confused and they demotivate some people to apply. Sorry for the long post
You're absolutely right, this is a problem in the industry. I recently read the book "The Big Con" and it has very eloquently pointed out that many companies/ organisations turned to consulting firms and pay a ton because they have no clue what to do and what kind of expertise they need 😅
I saw ppl who call themselves data analysists and all they do is watch football match and count the number of touches a player has during the game and they keep reporting that to a cloud server which TV stations use. Many others are also doing the same job tracking the other players from the same game.
1. Data jobs are not affected by recent lay off
2. Python, SQL, AWS,Azure, Spark, Tableau remains the tops skills to learn.
3. AI engineers for LLM more than ML engineers.
4. Freelancing
5. Low code tools.
Been working with data for 3-4 years now. I mainly use sql. Okay I do use python sometimes for pivot tables, and if I am too lazy to start turning a csv/excel file into a table in a database.
I really don't understand what is the benefits of writing sql commands in python? querying directly on the database is much faster, and you don't have to deal with a sht ton of csv/excel files on your laptop. and okay you might have some cool libraries and for webscraping beautifulsoup is amazing But why would you write sql commands in python?
Can you give me one good reason to why I should start writing sql commands in python? I think this whole idea doesn't make sense to me.
Chào Thu, video của bạn làm rất hay và bổ ích. Vương có công ty làm về phần mềm và marketing ở Houston Texas, Vương muốn nhờ bạn làm consultant mảng data và Ai cho cty Vương. Làm sao để Vương có thể liên lạc được với bạn.
Great Video ! , Thanks For Sharing your Insight with Us
Hello Thu, I am an international student in Canada pursuing CS and currently in my fourth year, I am working on my Data portfolio to get into DS. I am doing a QA internship, I thought that my QA exp wouldn't contribute much to my profile as a Data professional, but your video has broadened my view a lot and provided insightful points into the field's trend. It is hard right now to get a foot in the door, but I won't give up on my DS goals. Thank you so much and wish you all the best on growing your channel.
@kimnganphanngoc597 How does QA help in Data analytics?
@@yuva204 you can check the video again at 8:25
Wow Thu this is very insightful and a well done video. Thanks for creating!
I appreciate your video is informative and well-researched! There are a lot of DS/ML/AI clickbait videos but this video was truly great information end to end.
Subscribing now!
your videos have helped me become a much more disciplined trader. thank You for all the valuable advice! your strategy is a game-changer. I can't thank you enough for sharing it with us!
Calm voice and insightful video❤😊
Thank you for your work, you are really helping out many people out there !
At 4:00 he crammed so much relational db concepts yet omitting the most fundamental: normalization.
Good analysis...👍However it's definitely worth adding a regional context to the data... Are the trends US vs Europe Vs rest of the world... How do the trends differ across regions etc...
Great Video. Very relevant for anyone interested in Data Science or A.I. Engineering
Hi, I'm in the process of getting admission in MSc in IT for Business Data Analytics from IBS Budapest.
I'm keen to get a Job in the same area, what should I do and what should I learn from the beginning? I'm a Digital Marketing professional and you know it's saturated and with fewer Jobs.
Thanks 👍
Hi! Thank you very much for doing this insightful research and sharing it!
New sub; learning so much from your content.
It was really an amazing and informative video. Can you please make a video on how to learn about domain knowledge for data analysts as a fresher?
The problem with no-code or low-code things is that you would have no idea how to assess the work's quality. The output might look somewhat cool but it might not be the correct answer.
True statement! Buuuut That’s why you liase with IT/DATA dept beforehand - to make sure data is cleaned up
@@AndresLopez-sq5ks it's not only about the data. Data input is an important part but the code, the prompt are also important pieces of the lego
Im a recruiter specializing in data and AI roles specifically in the BFSI space. I appreciate her analysis. Let me add one piece of advice. Companies want data employees to show they can last at an employer longer than 18 months. Stop the job hopping. I know too many highly talented unemployed people that moved too much. Now they are in trouble willing to take whatever they can
Thanks for reminding us that the fundamentals matter even in a changing market. Focus on your skills, build a strong portfolio and network! That's the winning combination. 👍
Hi, I am from Brazil. I love coding. I course statistics and have master degree in Public Health. I work with Python, R, SQL and C++, but here We have so little oportunity. I was working in a hospital, but was laid off. I would like go abroud to have more oportunities.
Great video, thanks :)
your content and collected data was amazing
thank you so much for the info, pls do a notion tour💫
I’m taking a Data Analytics and Regression course in the fall as part of my master’s program, where I’ll be learning R. To make the most of the course, I’m planning to learn R over the summer. Given my goal, would you still recommend starting with Python?
The skills are pretty transferable. I learned R first which made learning Python easy. Your time investment depends on which one you prefer and where you expect to work.
how i wish we can have no-code or low-code tools already rolled out so programming wasn't so mind wracking
Just give us a UBI already. I'm just dead tired of forever running that stupid rat wheel that is increasingly demanding we run harder and harder.....
UBI is meaningless. Market will shift and you won't be able to buy anything with UBI money. Maybe some crumbs of bread but nothing much.
@@jurassicthundereither way the economy has to shift because people are much more productive compared to previous decades, yet the job market and salary is not scaling with the amount of work people do.
Such a lame comment.
@@hold.aaronnormansuch a lame reply
It is getting silly.
Thank you for your tips at the end, I really appreciate you
Thank you so much as a cs student it helps a lot ! Great video . Amazing content as usual. Keep it up :) thank you so much 😊
Aw I appreciate that, thanks so much for your kind comment! 🤩
cs is overrated and saturated to the point many CS graduates are still unemployed for almost a year now. Lmfao. Good choice bud.
3:20 I'm surprised Excel is 3rd lowest on the list...I thought it was also important for data analysis along with SQL and Python, is it not anymore?
I think that managing a spreadsheet (eg Excel) is and will be necessary. An essential part of data work is to make short-scale proofs in every step of the cycle, and Excel is the best tool for do that due to its capability for manage essay and error tests. But it's an "internal-use" tool: the product that you deliver is never an Excel file. I guess that is the reason for its "low-demand"
So I do not need SQL to make me an AI engineer right?
Thank you so much for the video. Do you have any findings about **Data Engineering** specifically?
Thank you for your research and sharing it ❤
Thanks to content creators like yourself anyone can enter the industry which is both good and bad.
Thank you Thu Vu!
Thank you for coming back for the video ❤️
Do we have any websites where I can download Sample Data and questions on it for PowerBi
Thank you for great contributions to the community and make me realise to contribute something to the community. So I started recently contributing to the community with SQL interview preparation, problem and solution series. Soon I will contribute many Thank you.
I really like the insights you've shared in this video!
Cảm ơn chị Thư 🥰
Hi, Thu Vu just wonder what is application name that you use for workflow of project. If i am not wrong on one of your videos you used it to know who work on what and make revision on project, drag and drop based on status task. I really want to know and I need it. I would really appreciate yor help. Thank you.
Hey, do you mean Notion? 😊
Great video! Just subscribed.
Thanks for the video, plethora of information I get from your channel, you mentioned you did a project involving pyspark with load balancing / partitioning, would there be a dedicated video / course that you would recommend on this?
Thanks in advance 🙏
How are we avoiding duplicate, triplicate and even quadruple postings of the same job being counted?? I am not convinced we have a “real” and true count of job postings; especially with 3rd party job sites popping up and then ending up on sites like Indeed.
90 percent of jobs on Indeed r fake.
think about moving to developing or poor countries, if you are gold here, you would be diamond in those countries.
i have advice, please put the points in description or chapters since it will help people who wants to pinpoint between the time series faster
The Data Cleaning Ninja was too good😂
Another thing is...Tech Companies are no longer paying 200k plus salaries..like handing out confetti....those days are gone.
Seen so many people on TH-cam boasting about their easy work life and tech stock options and even turning it down and wanting more.
Hubris....
Thank you so much for your insightful sharing chi
Great insights!
Thank you for share,
If enough people make similar videos I can go one level deeper by analyzing data about analyzing data
Thanks so much for this. I am studying and hope to get into data science. What no code / low code tools would be worth learning?
Excel, Power BI and Tableau
Hi thu vu data analytics need thumbnail designer at cheap rates?
you're a life saver.
Work for yourself, not for a company, and you will be fine.
how?
Easier said than done
The first ones to go in an economic down turn are the freelancers. Not for the faint of heart
Probably OF work.
Very useful indeed! Thank you so much for creating this video Thu Vu. Great content!👍 Excited to have found your channel. I plan to be an avid visitor of your channel for sure.
Need of the hour!!
I am a seasoned data professional and I can tell you that I want to be a peasant, leave these jobs and live as peacefully as I can very far from the city growing vegetables and fruits.
What do you think of Berkeley's Data Science program? It's cool that they're opening a new College of Data Science and Statistics to expand the program.
Thanks for sharing.
Very useful information 🎉
I'm curious how a small business on the corner might offer data freelance work but otherwise this is great thanks for the insights!
Thanks!
Can you teach us the framework that you use to research a topic and construct your ideas for presentation to the public?
People saying that ML won’t displace programmers are brain dead. What the hell do you think NLP is for? It’s for lay people. Between AI and NLP you won’t need specialists. Just prompt the machine and it will build what you need.
Hi Thu, I am a Financial Advisor learning programming to enhance my analysis! I love your channel! I am launching my podcast to teach financial literacy to diverse communities next month! I know it may be confidential but I love your B-roll / background edits I have been trying to find an editor for so long. Could you point me in the direction of your editor or ai you use? I do not mind paying for this information!
That sounds wonderful! Here’s my editor’s website alenben.co/ Hope this helps! Good luck with your new podcast 😊
The low code or no code are just marketing terms. Wait till you see it
I use Knime Analytics Platform and I can build complicated machine learning models for both regression and classification tasks with little coding
Hey your video is very informative, can you tell me how a fresher can become data scientist, mean recruiter are prefering experienced one first.so how to get into this feild.?
As, a finance graduate will Python ans sql help to stay relevant
Are there any precise versions of python and sql to learn for finance
This video really motivates me to work hard...🙂
still don't know what trends
U r not in a Position to predict the future od data jobs.
Really Enjoyed this video
This video is gold!
Why the first 10 seconds, "my job might not be as safe as I thought"?
So much fear mongering in data videos. I image most people don't get through the whole video and that intro is what people remember. Headline "Save your career!" also triggers people's fear.
Hii, im intern AI engineer making an application for email generation for marketing using gen-ai. With langchain framework. This fun !!
That’s awesome to hear! 😀
Thanks Thu Vu 😊
i am a dev who is looking to get into big data as It feels its a bit safer then software development in terms of AI replacement. Hope I am right
Lol, I laughed when you said "Data Cleaning Ninja", because you know there's some ETL expert out there who does data cleaning all day!
Hey Matt, haha that’s absolutely true!
Can one land a data analyst job through taking google data analystics certificate programs w/o exp?
i like the data cleaning ninja job lol