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.
Fully agree with SQL as indoctrinating analysts into critical ways of thinking of high volume data in terms of relational algebra. Apart from AI/MO, even for operational research, relational algebra *is* available in 4GLs like Python, but it's far more expedient in SQL (and is the focus of SQL). Once you have experience in the concepts and practice, you can battle the syntax and navigate the APIs of Python packages, but trying to do both can stunt progress in both. Also fully agree that technical skills need to be complemented with domain knowledge.
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
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.
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 😅
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.
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, 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.
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...
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. 👍
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.
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.
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.
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!
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
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.
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 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"
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.
@@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.
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.
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.
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.
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 RU-vid boasting about their easy work life and tech stock options and even turning it down and wanting more. Hubris....
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 🙏
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!
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!
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.?
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.
