Is Data Science Dying?
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- Опубліковано 2 лип 2024
- In this video I analyze if data science is dying. I address (1) is it trending downward? (2) Will it be automated and (3) Will there be jobs available?
I've gotten quite a few versions of similar questions: Is data science dying? Is the data science job market saturated? Is it too late to get into data science?
This is my (somewhat) thorough answer to these questions.
One of the main articles that kicked off this conversation: www.datasciencecentral.com/pr...
0:00 Intro
1:03 Is data science trending up or down?
2:36 Will data science be automated by AI?
5:31 Will the data science job market be oversaturated?
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Thanks for watching everyone! Let me know if you think data science is on the rise or decline below!
Hey I'm just 19 year old and I've started my journey with data science by pursuing batchelor in data science and programming.It really discourage me when someone says that data science jobs won't be that much in four-five years as it is now.I want to ask you that is it true or not.Did I make a wrong career choice?..it would take 3 years for me to complete the data science courses what is or is there a certainty that I will get a job?if not please advice me others career options as well (pursuing bsc pcm-maths as major and bsc in data science and programming)🙏
It's absolutely on the rise. AI can definitely automate things, but you need a human being to take what it outputs, confirm it isn't gibberish nonsense, and then explain to the business people what the data MEANS for the company.
Ideally no, cos after a thorough research from my side it appears that there will always be a demand for the best DStists.
It is not something that a certain person can master it in some few years. It will considerably take a good amount of time.
Mathematics never dies. Programming Languages are rising and decline, but calculus, matrices and numerics will exists until the known universe ends
True!
Very true
Engineering is the way to go
Ur reply brought Hope to me
Mathematics, physics, theory of signal, logics, informatics are important
Great insights Ken. I certainly agree that data science's decline is far from sight. In the life science domain, the use of data science has started to scratch the surface and there's a whole new frontier of possibilities.
Thanks for watching Data Prof!!
I agree.
The Data Science King 🤴 has spoken; Data Science is NOT DYING!!
Very much agree with this, Ken! I also will add that I feel there is going to be a stronger need for data engineering as we go into the future.
💪
Yes certainly, perhaps going toward Full-Stack ? 🤔
@@DataProfessor yeah that’s interesting. For smaller (less tech savvy) companies I feel like this is becoming more of a necessity
I am a data science aspirant proud to be that.
@@shreyashagrawal9650 hi give me contact I want to become what I do now I'm in digital marketing last 1 year experience in this domain not high packages so I want decide become data scientist
As someone who's a relatively new data scientist, thanks for giving me all the confirmation bias that I needed Ken 😉
Haha thanks for watching!
👍🤣
jajaja best comment ever
😂😂😂
This video hit the net at a perfect time for me. Applying now and this gives me the confidence that there are junior DS roles to be filled and not the plethora of senior data science listings I've come across. Thanks Ken 🙏
💪
How is it coming along? :) @Asad Jawaid
Thanks, Ken, for the great insights. I don't see data science dying but just continuously evolving. It better not be too late to start your data science career because I'm probably going to set the age record for getting started! Thank you so much for the way you keep me challenged to continue growing.
BTW, I took your recommendation to get Aurelien Geron's ML book because I needed another resource to bolster my green ML skills. Great find!
Glad you enjoyed the book Marty!! Definitely no age limit for data science!!
Great insights as always Ken! The data science umbrella is so large, that several "titles" will be more defined by companies to find the person with the skill set required to solve their problems.
Thanks for watching!
Great video Ken! I definitely see the field trending up from an employer's perspective. Like you said, so many companies that aren't the FAANG companies are just starting to get to grips with the amount of data that they have available to them and will need to hire more and more data scientists as they seek to extract insights from their data.
Especially Nordstrom!
Thanks Shashank!!
Data science is definitely not dying and for the fact it's only scaling much bigger. Companies have started seeing the advantage of using data and data science and organisations are adopting data which is in fact create more demand for data experts 💯.
I agree!
Hello Ken have to agree with you, and as trends or tools change, your already one step ahead in learning whatever comes along. Data Analyst is a good starting point but not end all. The more tools you have the better your chances of advancing. That is my two bits. Have a wonderful holiday
I agree! I think people should always be looking to grow their skillset regardless of role in the profession. I hope you have a great holiday as well!
I think part of it is the pressure for the next content piece. There are only so many ‘do data science’ posts/videos you can do before saturation. Also, you’re right about the absorption of these roles by different businesses and sectors over time, each part has lead firms then a long tail who take time to adapt to these trends.
Thanks for watching Ben! I agree with your sentiment
I’m starting to learn data science with a mind towards still being employable in 2050. No matter whether the job of “data scientist” is around then, the skills learned in the job will be invaluable. Analysis, data architecture, machine learning, data visualization, Python and R, all of these skills will allow data scientists to be on the cutting edge of any new tools developed between then and now. And big data is getting bigger by the second. Barring some kind of AGI singularity, data science should continue on an upward trend.
Thanks Ken for all the help in your videos so far, and for confirming my hunch that the field is going strong.
Completely agree the skillset will be around for a long time!
Really enjoyed this video! I really don't understand why people would ask if data science is a dying trend/industry/discipline etc. With more data becoming available and languages/tools like Python and R getting regular updates, there will always be a need for those skills and I personally don't see any of this becoming obsolete. I can see why data science as a title might render it declining trend but I wouldn't focus so much on what constitutes data science. Also you need to keep making content so this discipline cannot die!!!
Thanks for watching! No plan on stopping making content anytime soon haha
Agree, data science in not dying. It's for many reasons still in infancy stage, so a lot more to come.
Thanks for watching Sundas! Love your videos!
Mam i often watch your blog regularly.... i am from bihar india...and pursuing class 12...
Plzz suggests me....
This year bihar govt introduced btech in data science which is new branch in third tier city darbhanga
Is it fruitful to took admission in btech in data science in third tier city
???
I'm glad to have stumbled upon your account! I'm interested in learning more about the field and business world and am looking forward to listening to your insights across videos.
Awesome! Thanks for tuning in!
Just recently started my first role as a data analyst/consultant for a property consultancy, people in other teams and companies have told me about the struggle they are having finding data analysts. I'm from the UK so this may of course differ where you are living but its clear new companies are realising how imporant data is.
Thanks for sharing your experience Bob!
so i can conclude from here that data science isn't dying, can't i ?
The sentiment is maybe coming from the difficulties to find your fist job if you are an aspiring data scientist. Rejection and unclear expectations (most companies have no idea how to find and sort data-scientists) may make many believe that is was just a fad, and they came a little late to the party.
I tend to agree!
In my country, every time there is an entry level data science role, there is a crazy amount of applicants. It feels like it's too much competition for this position. Can it be?
Excellent analysis Ken. I admire your effort to reduce bias (and maybe increase variance).
Thanks for watching Sid!!
Always a great video master master Ken! I think with Alteryx a lot of people feel a lot of these jobs are being automated and everyone can run a model. But I found many of people who just run these workflows can't really explain the results when you ask detailed questions. There's always going be work for some cookie cutter projects but there will always be room for when you need to innovate and a cookie cutter approach won't be the best solution. Totally agree with your analysis! Keep up the great work! Happy early ThanksGiving!
Thanks for watching Justin! Happy thanksgiving to you too!
I think entry level roles for data science are getting pretty saturated and competitive. This might create the impression of less demand for some people. However the value of a veteran data scientist is hard to overstate.
💯
Yessss you have rightly pointed how we feel. The entry point and mid tiers is so saturated! Feel like I can’t even get in… :/
@@14xx07 what state/region were you referring to?
Ive tried for 7+ years to get an entry level data science job. We need a ton of entry-level jobs in this country. Any business leaders that do anything to eliminate entry-level jobs need to be thrown in prison.
I hope your mindset has changed. A business owner cannot be thrown into prison for simply hiring to fill the needs of his/her own business. If you are actively searching for seven years, it means that you might need to look into your search methods and try to broaden your network with people in the field. BTW no one is coming to save you (TUFF TRUTH) @virtual240
Very solid arguments. Even though the title might change, the skill sets will definitely always be in demand.
Thanks Wolfgang!
That's really on point. People see advancements in tech and join the bandwagon of making predictions about the decline of human jobs. I think we have not yet realised that automated solutions would most probably be generic and not user specific. In this field of ever growing competition, users would be looking for more personalized solutions and for that, we would require people.
Thanks for watching Sebi! Congrats again on finishing the course!
I see you Sebi :3
I also think causal inference will be more popular in the future of data science which is more difficult to automate than prediction as it requires more interpretability
True!
As a student in Data Science, in order to automate those tasks, AI needs to be much more advanced in order to actually do it so its still pretty far off.
Agreed!
Are you studying Data Science in Srilanka??
do you have the same opinion now?
@@ronaldpavon3434 def even chatgpt is not that accurate despite all the hype. More so, to run the LLM, u need hardware worth billions so for AI to reach the point where it will automate well, I’d say 20 years at least, but that will in turn led to more problems that we will have access to solve and data science will evolve.
@@kannolsHDmovies17 nope
Maths & Stats will live FOREVER. Data Science is a supportive tool to MATHS & STATS.
Thank you for putting up all the analysis together to conclude straightforward why Data science isn't going to fade away for sometime in the industry. Being into the Banking operations where I specifically work for the Fund accounting dept, I can easily vouch that Data science is completely taking control in so many parts of day-to-day activities. Eventually in a few years, it will get boom more than how it is now and it's a fact.
Thanks for watching!!
Thanks for the awesome analysis. I think data science is still on the rise. I think because it's a bit hard to get into the industry especially for beginners makes it seem like it's on the decline.
Thanks for watching Chinedu!
As for AutoAI/AI GUI I been using one given by my company but the performance has only been surpar. I am using it more as a pipeline designer so less technical coworkers who are not comfortable with code can use it. On the other hand, fine tuning pretrained model has much better results and I think models trained by big tech companies will dominant in the next 5 years.
I also agree with your point with data engineering as I have spent a lot of time in this area.
So my 2 cents is Transfer learning tuning w/ preprocessing > AutoAI.
My data will eventually output to some low code/no code applications, but I don't see how those application will replace software engineers/developers. I hope this is the same situation for us data scientist.
Appreciate your perspective!!
When I was 12 years old, I wanted to learn HTML and JavaScript to build my own website that had guitars and penguins on it.
All the so-called "smart" "adults" around me said that programming was a waste of time because all the programming jobs would get outsourced to other countries anyways and that programming was too hard for people who weren't good at math (like me). Not knowing anything, I decided to listen to them.
Fast forward 4-14 years later, there are self-taught programmers who don't know much math and never went to college, who are now making high 6 figures and I missed that opportunity because I listened too much to other people when I was 12.
Don't listen to people who aren't experts in the field you are exploring.
Data science today is what HTML and web development was in 1997. It's not that new but it is still growing fast enough and there's plenty of room for more data scientists and computer programmers.
This is a great story! I agree!
@@KenJee_ds holy shit I didn't actually expect a response from anyone
Thanks!!!
Data mining, Web crawling. Python, R, SQL insights from a place for export data in CSV format. This is what data science for me..
I'm one of those self taught data guy (except I'm good at Maths too)... 😂😂😂😂😂
I do not hold any degree in computer science yet I am creating data pipelines, maintaining a data warehouse and doing other stuffs... 😂😂😂😂😂
So I can say you are right...
If you are not good at math. Don't you dare to become a self-taught data scientist.
Great video Ken! Completely agree that data science is on the rise as companies are just realising the full potential 🚀
Thanks!
Great video Mr.Jee thanks for your sharing your knowledge
Thanks for watching!!
Another great example outside of data science is medical laboratory science. Over the years it has become more and more automated with more machines doing lab tests.. but all that has created is the ability to do more volume. We need people to interpret the results and make sure they are okay. Machines break down all the time and the job is VERY much in demand.
Interesting!
@3:50, yes, Web Developers are still in high demand, but today their pay rate and demand isn't the same as it was back in the 90's and 00's
Wouldn't be surprised if the same happens with Data Analysts / Scientists
Valid point!
Data scientists who have some knowledge of a non-tech domain will be in great demand too. In sports, its advantages are manifold and its usage is on a rise.
True!
Thanks for talking about accounting as well
Yes, I totally agree.. for me it comes from the lack of understanding of what the roles are and the importance we as "data people" play. There is a broad overview, but not in-depth know how.
Automation is the dream people are buying into but like you showed earlier 57% of companies use data. Alot of companies who claim to be AI or data science driven dont even have a data governance or strategy in place.
Data Jobs are here to stay; they are the backbone of the digital world.
Preach!
Great insights. Thank you.
I’m just a beginner in Data Science and headlines like this pop up every once in a while. 😂
Thank you for watching!
Are you from kerala
Okay, BUT HOW DO YOU FIND PERFECT CLIPS FOR EVERYTHING!
I can take no credit for that! That is all my editor Tony!
Hi Ken, thanks for your good sharing of data science! I've been working for a BI company for 5 months as a project manager. We set up data warehouses and develop Power BI dashboards for many customers in a big variety of industries (cosmetic, food, electronic, medicine, clinic, hotel, aquaculture., etc.) The business is pretty good. Some of them have started using machine learning for prediction. So I think that data science is trending upward.
Awesome to hear about the experience Brenda! I don't think I got to congratulate you on landing the job 5 months ago so... Congrats!!
@@KenJee_ds Hi Ken, I'm glad to receive your congratulations. Thanks a lot!
Hey Ken, love your stuff, what advice would you have for someone who’s soon to be graduated with a masters in data science who now only sees anxiety inducing videos like this? 😬 what skills could someone like me look to add that are less likely to become automated or phased out?
Your video is very optimistic, I just personally feel like the roles might look a little different in the future. Wonder what you think!
I think that showcasing your skills or specializing in a subject area will take you very far. As I mentioned, automation appears to tackle the most generic tasks first. Having specialization in a domain or in a type of analysis can hedge you somewhat. Also creating a personal brand and a track record (github / kaggle profile) can go a really long way!
Thanks Ken ! I am finishing my last year in Industrial Engineering and your videos motivated me to try learning DS as a side hustle. To be honest with you, it seems really overwhelming at first because the field is gigantic and i am trying to keep the pace with my Uni studies and my part time job... all of this at the same time... Currently i am using Dataquest to learn the basics (Python, Matplotlib, Pandas, Numpy, SQL, etc.). but sometimes the motivation hits all time low even though i am in love with this new domain. Do you have some quick and effectif tips with this issue ? Thanks Again.
Glad to hear you're picking it up on the side. I always recommend on focusing on specific problems or projects rather than trying to "learn the field". Projects allow you to have finite learning objectives which can help to break the broader field into chunks. I hope this helps!
Thank you for clarifying and busting the myths. You rock!! :)
Thank you for watching!!
The lack of focus on data leadership and waste from hype, we're just not seeing a lot of feasible products and services that companies know what to do with or want to pay for.
There's significant abrasion between the skills that are professed via Google and what companies actually need done. With that being said, there are a lot of newbies unwilling to make a commitment to the career. When they find out it's not just pushing buttons in Anaconda, they bail.
Will data science grow or will companies adapt to what's available in the software and labor market when the hype dies? Or will they just keep throwing money into the unknown?
Good question!
People need it. If they say they don't they are hiring the skills under multiple / different job titles.
Hey Ken, your video is such a bliss as always. I am working as System Analyst aged 41 years. Can I learn Data Science at this age and start my career in it?
What advice you have for me?
Thanks Deepak! I think it is definitely possible. Your role isn't too dissimilar, I think it could be possible to learn some skills and try to pick up data science related work within your company. Talking to the data scientists (if there are any) directly could also help you to learn their role.
The Data Wiz has spoken ..Now that's clear " Data Science isn't Dying"
Totally agree with your point ken where you mentioned that when companies and people would be able to understand the difference between different data roles , these questions wouldn't be coming again n again ...
Also i feel you should title your videos as Data Myth Buster by ken :)
Haha thanks for watching!
Mathematics, Mathematics and Mathematics. If you are good at it. It's not going anywhere. Learn Python along the way and 5 important data structure - Arrays, Trees, Graphs, Linked List and Hash Tables. You will be happy for next 50 years and oh...learn to communicate...written and verbal irrespective of who you want to become. :)
Top video, thanks for the quality insight
Thanks for watching!
Today I just got into college for artificial intelligence and data science BTEC and Google recommend your article
Hope you enjoyed it! Congrats on getting into the program!
Hey Ken, thank you for your insights! Btw, I'm seeing Blockchain developer jobs are on the rise and Blockchain maybe the next big thing. Do you agree? Is there an intersection between the two kinds of jobs (BC and DS) or are they mutually exclusive?
I think there is definitely an intersection. There is a big market for blockchain analysis!
This video gives me motivation on the journey of data science... Thanks a lot
Thanks for watching!
Cool video. Just looking to switch my profession from accountancy to data science. I hope it will work for me in the future.
I think it will! I've seen quite a few accountants make a good transition
@@KenJee_ds Thanks for your kind remarks, Keep doing the good work.
It will always rise since the volume of data continues with an upward spiral so data scientists will always be in demand to understand those data and not all tasks can be automatised
I would agree
Hi there Thank you for your video first of all.I have Statistics bachelor degree I've never work as a statistician.Im really into jumping UX/UI design career, but since my bachelor so relevant with data scientist I'm having a little bit hard time to decide. I'm thinking to have bootcamp and have zero coding experience. I like math but also I love searching, psychology and being creative . what your suggestion would be for me ? Ux designer or data scientist ? Ux designer excites me more, but I'm having fear how hard finding a job will be.Data scientist scares me to learn and personally have low interest but I wanna find job easily and kinda don't wanna feel my bachelor degree was a waste.
Honestly, if UX designer is more exciting to you, I think you should go for that. There are plenty of UI/UX boot camps & if that will make you happier in the long term I think it is worth pursuing. An alternative could be picking up some skills in Tableau or Power Bi and pursuing a data analyst role. There are elements of ux in dashboard creation and it wouldn't take doing a bootcamp or learning to code. I hope this helps!
What are your thoughts now with the recent layoffs? LinkedIn has 300+ applicants on every job post I see for data analyst.
My assumption - no analysis - was that there is a glut of data science boot camp graduates - plus the disconnect I've seen mentioned between people who study things like NLP and image recognition, which are not in demand in the workforce. Probably part of it for me is just that - i dont want to be a data scientist. I'm more interested in data profiling and analysis and modeling. I actually was turned down for a role I didnt realy want - because while the role said 'data analyst' they really wanted a junior data scientist - someone who WANTED to be a data scientist.
I stumbled in to a great role, though, I think!
Glad to hear you stumbled into a role you enjoy!
In my job as a statistician in the healthcare field we build counterfactual models.
There's no way this can be completely automated, at least not now.
Constructing a causal diagram (or DAG) to investigate the relationships between variables requires subject area expertise and intuition of cause & effect.
This is currently beyond AI's capabilities. Computers can measure correlation between three variables but don't know which variable is causing the other.
So becoming a data analyst or business analyst is definitely worth it. As well as learning python for various reasons
💪
It’s just gonna be rebranded as a new name. It used to be called Decision Support Systems then Business Intelligence and now Data Science… eventually a new name will come to the same set of work.
Very possible!
I think there's at least two possibilities:
1. The sentiment is coming from the fact that the rigor and knowledge required for data science/analysis is becoming better understood, and thus the lack of real expertise from most applicants is becoming apparent.
2. The real growth in the data science job opportunities requires experience that a lot of applicants don't have, yet.
How many startups want a Sr. engineer to get things started? How many companies first getting into DS would want senior data scientists/engineers before investing in juniors?
My concern here is the fact that other countries are offering data scientists for less than half the price... since the job can be done from anywhere, many people could literally die to have a salary of 1k a month and do the same we are doing and still live a comfortable life style.
Valid concern!
In Strategic Management of Technology, Data Science would be still in the early stage of the S-curve. We are far from maturity what else a decline.
True!
Omg you scared me with the title.
.l..I'm learning DS and wish to continue with this career path
Hopefully the video was optimistic!
thanks for this informative video!
Thanks for watching!
What's up with the fruit cuts? Good informative video. Thank you.
Thanks for watching! I just really like fruit haha
Ken Jee hit the nail on the head perfectly. The general public, major business and especially the media have little to no understanding what data science and diversity of roles in this field.
Since the field is much newer than others, how would anyone who communicates about value it or hold it in regard to any other white collar job? So when people want to move on to write about the next hot topic trend, or lack understanding of the subjects projected growth, its just easier to say it is dying.
Thanks Jaime!
Good to hear that :)
😀
Hi ken ! I wanted to ask u this question last time when we discussed the video but I thought UA-cam would be better. I am applying for a PhD in the states and considering specializing in NLP. I am also considering working on applied fields like climatology or environmental economics since I come from an econ background, but ofc the algorithms are the same ( no DL there ofc ) .. I just want to get your opinion on that if possible, but ofc don't worry I won't take it as Quran in my case lol ( It means a lot to me tho 🌻 )
I think that is an awesome idea! I don't see why it wouldn't be possible!
@@KenJee_ds Oh thank you Ken ! And sorry my question wasn't clear enough. I am actually debating between pursuing a PhD in NLP or in the applied fields mentioned above. If you were in my shoes, what would u choose ? And thanks a lot
In my surroundings I can tell that the reason why students aren't taking data science is because they find statistics too hard and also consider web development and devops as a likeable and easy field.
Hello!
I have a question and it is In case we are new in data science and do not have work experience in data science, what is your recommendation to get into a data science job?
And I have another question and that is, what projects would you recommend us to do in order to we can know if we are prepared for a data science job or not. Thank you so much!
Thanks for watching! I made this video a while ago that I think will help! ua-cam.com/video/pWVQ0vN5uig/v-deo.html&ab_channel=KenJee
I don't think it's gonna die anytime soon. Companies which uses data to grow their business have a significant upper hand on businesses who don't. So, even if the new entrepreneurs don't want to use data, they still will have to use it otherwise they are gonna get beaten easily by their competitor's who are using it. And the fact that people give away their data 24/7 , you need someone to analyse that, so data science is probably on the rise in my opinion, no doubt at all
Good point Anubhav!
Great thanks
What technology/skill should I acquire which is at boom??
Is it Salesforce?
I think coding will always be a great foundation. I personally prefer python
@@KenJee_ds sir i am very confused because I am from noN it field
@@KenJee_ds I don't know much in it field thaught you might be able to guide me
Data science is ever evolving and like he said, data driven decision making is here to stay. It's not a new concept to begin with. Some of the big changes that will happen in the field are ethics. The ethics of data collection, storage and analysis is under intense scrutiny. The laws will change and the tools we use will do too. Our tools will evolve and become more efficient. Even if there is automation,there will be need for people to manage automation. Like any another tech field, we will have to keep updating our skillset to stay relevant.
Yes!
In my country, every time there is an entry level data science role, there is a crazy amount of applicants. It feels like it's too much competition for this position. is it the same in your country?
There is quite a lot of competition for entry level roles, however it is still possible to land them with persistence. Another option is to go for data analyst or software engineering roles first
@@KenJee_ds how to go from software engineer to data scientist?
Hello sir i really benefit from ur great videos and briefs ,, i just want to ask can i start my journey as a data scientist or i have to start as a data analytic ,, thanks alot for reply 😊
To get started with data science or analytics the same general skillset is required. I think you can start with either and be fine!
@@KenJee_ds hey sir , i am in grade 11 , and my aim is to be in the field of data science , can you plz tell me that is this is a good aim or i should have change it , is there will be demand of data science decreases after some years or it is wrong , plz tell me shortly here ,
To me the new Google phone is proof that data science and ML are literally just getting started, I mean the phone has a "Tensor" processing unit, and it's most advertised features are Deep Learning enabled.
Agreed!
I really like you Ken, but educational content that's I want... Instead of getting uncertain topics like thisss
Thanks for the feedback!
I feel it’s cuz UA-cam data community is growing and every other day, it seem as thou there’s more new people then not. Feels like by the time I grad in 5years, not much of the pie would be left for newbies?
I'd watch my video on "Is data science dying?". I do a more complete industry analysis. I don't think you have anything to worry about to be honest.
You will be fine, datasets are getting larger not smaller which means they will need data scientists. Plus you can leverage these skills in other fields. I am an accountant who is learning this stuff because I have hit the wall with excel as the accounting data sets are getting too large. If you like the field then go for it.
Hello Ken Jee. How can I do contact with you??
I think easy entry to data science is dying however skilled data science entry is increasing in demand.
The main barrier is how many are going to squeeze every neuron in their brain to truly work to their potential and capacity to be skilled and make value in this field.
I think the answer to this is specialization. The generalist roles are saturated but having specific, relevant, skills for a company can always help someone to differentiate
I guess this video is a good example on how to present your results for the end user xD
Thank you!
Hi Ken, I'm 37 years old and from Banking industry. Studied accountancy and economics. I have been contemplating about doing data science for past a couple of years as i have never felt too confident about it.
Data is definitely important but people doing masters/major in statistics will have upper hand to people who are doing data science course with no prior engineering background.
Also, people who know various coding languages might again have upper hand.
Rest you have in the job training.
Please share your response. I want to learn data science but I'm not feeling too confident about it's future for someone with my background.
Hey Akansha - While you may be behind in the coding, you are pretty far ahead of others with your knowledge of banking and accounting. These skills are extremely valuable depending on the role that you pursue. I think you would have a great shot at getting a data analyst or data scientist job within a similar domain with fairly basic technical skills. I would focus on trying to build the skillset that is relevant to the intersection of data and banking
@@KenJee_ds thank you so much Ken for your response. I have been into BA/ PM role for almost 9 years now and probably understand the systems basic functioning no matter how new or different it is.
What kind of jobs do you think would make more sense post the course.
@@KenJee_ds just wanted to let you know that after this, i enrolled my self with the data science course and I'm already working on my first project and assessment on R
Data science is big but being able to interpret and provide insights from the data is where the money is. Lots of people can pull data and code using R, python etc..but if you can't explain how to use that results for predictive forecast or explaining how it either proves or disapproves your initial hypothesis then data analytics does not add any value.
Completely agree!
Hi Ken jee .Currently i am working as a software tester .and i want to know that wil software testing has future ? which one is better data science or software testing ? .if data science has more future and package then i will shift my career into Data science .need suggestion form U
Boy, no way this field is dying, the reason it might seem like this is because Data Science/Business IT degrees are being introduced at what feels like every University right now. There's the sentiment that IT degrees, especially in Business IT, are sort of the new MBA programmes, in that people who want to "get rich quickly" do them and flood the job market with what are considered short term CS skills that could end up being automated in the next 10-15 years.
Now, I don't believe this to be true. I estimate Data Science is about to establish itself as its own proper (academic) field right now, which is why, suddenly, there's specific degress for it. Most people who work in DS jobs now did their degrees in math or CS, whereas the new generation will have proper DS degrees to go off. Kind of like how early programmers had math degrees, simply because Computer Science hadn't established itself as its own field yet.
I agree!
@@KenJee_ds wow, didn't think you'd see this comment on a months old video :D
Glad you agree!
nice argument!
Do you think someone going through college whose interested in data science be better off majoring in computer science or data science?
I think it really depends on the specific program. If the data science program will actually teach you quality coding concepts and the math then it could be worth it. I find that many are pretty watered down.
What about the data engineering roles? Will automation take over that?
Not likely
As an accountant I can tell you the reason why you are not seeing any data scientists in small to midsize companies is because they cannot justify the head count. Sure Amazon can have a whole department for data science but a small business you might be the marketing/finance guy who is also analyzing the other data sets for the company. The field is not dying, but with tight budgets in small to midsize companies it is hard to justify hiring hiring someone who specializes in data science but cannot do any other core business function. But that will probably change as time goes on.
Also, as companies grow then the need for data scientists will grow as well.
Thanks for the insight! I didn't even think of that angle!
@@KenJee_ds No worries and keep up the great work!!
Accounting and IT deal with this all the time. Most c level executives either want more sales or operations people. Back office folks are seen as a sunk cost. We are last in line when it comes to additional headcount.
No-code really is just a new buzzword that means what "democratization" used to mean.
It lets unskilled people do what we do so we can learn the new hotness in our field. I used to be a web analyst. When Google Analytics started interpreting itself, I moved on to software skills and ML skills.
No-code is good. As soon as we get comfortable with techniques, they are no longer cutting edge. So they're boring. No-code offloads that shit to our stakeholders so we can move on to the new cool stuff.
True!
I see where you are coming from. The definition of what a Data Scientist isn't clearly defined. Just the other day I saw a job posting on indeed for a data scientist and the requirements were very similar to a Bi Analyst role. I love learning new things about IT. My focus being a backend developer. I am still trying to understand what role Data Scientist play since it isn't clearly defined. I am assuming Data Scientist key skill is SQL? Data Science technically is a data role?
SQL can be important. Usually that is more the focus of data engineers or data analysts though. Most data scientists use python as their primary tool these days. The key skills are model building and data analysis
@@KenJee_ds thank you
No Data science is a teeneager... It will not die as early as some ppl are thinking... Live long data science...
Haha hopefully it doesn't have it's rebellious phase any time soon!
@@KenJee_ds yes hope so... Predicting about data science using data science can be a good task 😂
I just got a new job as a data scientist, so I don't know if there is no future.
Congrats!
@@KenJee_ds Thanks a lot, Ken!
I am just about to graduate from my Data Science Masters.
Congrats!
Data analysis is a time consuming process and no miracle can take place if you create a data model and take a call based on the outcome. Data science mostly help companies in making marketing and sales decision - these final decision will always stay with the people who are marketing and sales veterans. In essence, companies will always look for data scientists but not to depend on them solely but rather to use them as a helping tool for core veterans of companies. Nobody in right mind will change a product price solely based on a data model. So yes, the demand for data scientists will eventually slow down.
One thing I can attest to is that it's getting far more stressful as the purview grows.
Hopefully will be less stressful eventually!
Yea I agree with you totally
Thanks for watching!
There will never be any decline in any of the IT field and its Skills ,be it Data Science or Development or Testing...!
What will decline is people's mindset to learn new things at any point and adapt through it.
Same is the scenario in any other field.... Demands increase doesn't mean it's value will decrease later !!!
People should stick to their individual Skill rather than hype of new trend !!!!
Thanks for sharing!
The field will continue to rise but slow down! AND will morph!
Eventually I think so!