Hey there, thank you for watching! Check out the full data report in Datalore 👉 jb.gg/datalore-notebook

1 - Be Good / 2 - Have a strong Portfolio / 3 - Network. Perfect!

I really admire your channel, Thu! Wish you great health to keep up the great work!

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..

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.

Raising chickens is so relaxing. They give you eggs too.

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.

This was a great post. It always amazes me how persons on UK give their time to post such great content.

Thank you for your extensive and deep research and then sharing it!!

Thanks for such an informative video Thu. Thanks for making the points too clear. Now I feel good about looking into the job market.

Thank you for your work, you are really helping out many people out there !

This is a much-needed info Thu, Thanks for making this💯💯💯

Amazing analysis Thu! I really admire your amazing insights ❤

I just discovered your channel, and your content is clean ! Cheers

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!

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

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.

Great Video ! , Thanks For Sharing your Insight with Us

New sub; learning so much from your content.

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.

Thank you for your tips at the end, I really appreciate you

Thank you for your research and sharing it ❤

Hi! Thank you very much for doing this insightful research and sharing it!

Great video, thanks :)

Great Video. Very relevant for anyone interested in Data Science or A.I. Engineering

your content and collected data was amazing

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 🙏

This is a very underrated video. Thank you

by the time we get the grip of AI and start applying for jobs, there will be another skill that will supersede AI 😂

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?

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...

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.

Great video! Just subscribed.

Thank you so much for your insightful sharing chi

Great insights!

Calm voice and insightful video❤😊

Thank you for share,

Thanks for sharing.

you're a life saver.

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. 👍

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.

Thank you Thu Vu!

Thank you so much for the video. Do you have any findings about **Data Engineering** specifically?

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 😊

Thanks!

Need of the hour!!

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.

This video is gold!

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 have advice, please put the points in description or chapters since it will help people who wants to pinpoint between the time series faster

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.

Girl, I'm a Data Scientist myself, but still new in the field. I didn't know I needed this video! Thanks for sharing❤

I really like the insights you've shared in this video! Cảm ơn chị Thư 🥰

This video really motivates me to work hard...🙂

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?

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.

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.

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.

The Data Cleaning Ninja was too good😂

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?

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.

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.

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 👍

Thanks

Hi thu vu data analytics need thumbnail designer at cheap rates?

At 4:00 he crammed so much relational db concepts yet omitting the most fundamental: normalization.

Python and SQL are 👑 Great research, Thu! 🙌

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?

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

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.?

Do we have any websites where I can download Sample Data and questions on it for PowerBi

I'm curious how a small business on the corner might offer data freelance work but otherwise this is great thanks for the insights!

If enough people make similar videos I can go one level deeper by analyzing data about analyzing data

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.

Read the blog really good could you please make video regarding data analyst science blog writing thankyou

awesome

Thank you

Thank you i had these things in my mind but said it .....

Can you teach us the framework that you use to research a topic and construct your ideas for presentation to the public?

think about moving to developing or poor countries, if you are gold here, you would be diamond in those countries.

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

Hii, im intern AI engineer making an application for email generation for marketing using gen-ai. With langchain framework. This fun !!

i like the data cleaning ninja job lol

Fine

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.

great

why you didn't spoke of data engineering much?

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.

Can u tell what bsc data science is

Data cleaning ninja. I like that!! Though I’d preferred to be called data cleaning cowboy! 🤠

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!

Why the doom and gloom 🤔. Personally I just think the landscape well change. We will just adjust

Any suggestions to volunteer?

still don't know what trends

The low code or no code are just marketing terms. Wait till you see it

What about Data Engineers ?

Why no one is talking about Data Engineering?

I do have a friend that's a QA engineer

How about cyber security jobs?