Is Data Science Dying?

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.

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?

#DataScience #KenJee

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[KenJee_ds]

Thanks for watching everyone! Let me know if you think data science is on the rise or decline below!

[jensharbers]

Mathematics never dies. Programming Languages are rising and decline, but calculus, matrices and numerics will exists until the known universe ends

[DataProfessor]

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.

[LeonLokk]

As someone who's a relatively new data scientist, thanks for giving me all the confirmation bias that I needed Ken 😉

[LukeBarousse]

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.

[AssadJawaid]

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 🙏

[alittleofthis]

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!

[insigh]

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.

[shrutijain]

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 💯.

[binksterb]

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

[ShashankData]

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.

[BOLibDe]

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.

[matthewfullhart]

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.

[emilymthrower]

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.

[farahinchoudhury]

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!!!

[MrKrtek]

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.

[LifeintheFutur]

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.

[sidkapoor]

Excellent analysis Ken. I admire your effort to reduce bias (and maybe increase variance).

[justinhuang]

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!

[wolfgangschroder]

Very solid arguments. Even though the title might change, the skill sets will definitely always be in demand.