I offer 1 on 1 tutoring for Data Structures & Algos, and Analytics / ML! Book a free consultation here: calendly.com/greghogg/30min

The key is to be a "T shaped" person. Deep knowledge in a particular area, but a broad knowledge in the adjacent areas. Goes for almost any job in technology; we're seeing the same changes over on the infrastructure side of the market!

@GregHogg

Жыл бұрын

That's really good advice, I like that a lot

@michaelrobinson8382

Жыл бұрын

I ve read about T Shape people. I agree

@Sara_1998_0

Жыл бұрын

Yes absolutely! It's all connected together and in the workplace in the absence of certain employees i would need to fulfil their place somehow, or even help them in the matter of crisis like in cybersecurity.

@mamneo2

Жыл бұрын

Incroyable.

@AbhishekKumar-wf9ey

Жыл бұрын

It is what it is......

00:00 Data science job outlook is changing rapidly and it's important to know what to do. 00:14 Data science jobs are not getting automated, but the job outlook is changing. 00:29 More data and insights are available, but humans are still needed to interpret and utilize them. 00:57 Exploratory data analysis is not as important as before, but understanding Python code and libraries is crucial. 01:27 Building projects and having skills are more important than just having credentials and spamming projects. 02:21 Data scientists need to have software architecture skills and be able to build full applications. 03:04 Coding is getting faster, so companies will need fewer people to write code. 03:44 Knowing how to put together different components and building actual applications is crucial. 04:12 Traditional analytics is getting easier, but it's merging into building full applications. 05:04 Learning data science and building applications simultaneously is important. 05:32 Being really good at your job and building full applications is essential in the changing data science landscape.

@viclim289

11 ай бұрын

05:40 “… Learn Advanced Machine Learning Architecture …”

@rachealO12

10 ай бұрын

simply put "BUILD FULL APPLICATIONS". thanks

@NewPlant_

10 ай бұрын

Bless you.

@Theatometo

8 ай бұрын

Thanks

Here are the six most important points from the video: • Data science jobs are not dying, but the job outlook is changing rapidly. • Exploratory data analysis is becoming easier and faster with the help of machine learning models. • Companies will still need human data scientists to build and put together Lego blocks of data, as chatbots cannot do this yet. • Data scientists will need to know software architecture skills, libraries, frameworks, and languages to build full applications. • Traditional analytics is merging with building full applications, and data scientists will need to learn how to do both. • To stand out in the job market, data scientists should learn advanced machine learning architectures and build their own technologies.

@GregHogg

7 ай бұрын

Thank you for the awesome summary codelucky! This is super helpful.

The problem lays in that building simple analytics and simple models are the not the tasks of a "Data Scientist" these are a the tasks of a Data Analyst. So yes, Chatgpt can obviously replace a Data Analyst. In fact there are thousands of jupyter notebook templates that can be used to do this without the need of ChatGpt.

@mamneo2

Жыл бұрын

Incroyable.

@alienboogieman

Жыл бұрын

What's a type 1 error?

@jja7788

Жыл бұрын

@alienboogieman someone who study marketing and its considered a Data Scientist

@alienboogieman

Жыл бұрын

@@jja7788 Incorrect. It's the level of significance when rejecting a claim when it is true just as "at level of significance of 5%, the true average lies between 10 to 25 in minimum wage" as an example.

@jja7788

Жыл бұрын

@@alienboogieman You confused type 1 error with level of significance, not even Chatgpt makes this mistake :))))

I have to disagree, my recruiter told me there are A LOT of people getting fired because they are using ChatGPT to get jobs but can’t keep them because lack of skill

@dannypakaz

Жыл бұрын

In what way are they using ChatGPT to get jobs?

@Butimnotatrader

Жыл бұрын

@@dannypakaz uhhhh for the programming involved with data science? They put skills on their resume they don’t have but that they can “do” with ChatGPT

Thank you for the video! Everyone keeps talking about how AI is changing jobs, especially in technology, but you are showing us what to do. It would be great if you could make a video about pipelines, etc. Thank you!

@GregHogg

Жыл бұрын

Yes absolutely!!

@gutsshots1063

11 ай бұрын

I can help you.

I'm sure how good Python is, but few people talk about R as the default option when it comes to performing real data analysis using out-of-box packages.

@prodtaKaN

Жыл бұрын

R is a little weaker in terms of memory management and what not. It's very hard to perform large computations with R.

@rafaeel731

Жыл бұрын

R has considerable limitations. Last time I used R it was inferior to Python for deep learning. The advanced statistical methods in R, like mixed effects models for intensive longitudinal data analyses, and advanced plots like the CD plots, were my selling points. However, Python is catching up and real data analysis can be done with Python. If R's syntax remains as hideous and its performance keeps suboptimal, it'll be a tool used only by hardcore statisticians and perhaps in universities.

@amaebarnes

11 ай бұрын

​@aborref8119 my econ professors used only R and STATA. Not a single Data Analyst position has mentioned R as a requirement or beneficial skill. Love that for me

@univuniveral9713

11 ай бұрын

I started with R but switched to python, as R is not good for deployment and databases.

@bralis2

11 ай бұрын

@@rafaeel731 No it is not true. For deep learning Python is hands down better, but for statistics (regression, clustering, multi-level models, time series .....) R certainly wins. Speed ? - use C++ calls (it is not difficult anymore in R), memory ? - > larger than RAM things still not good for Python either (use Spark, Arrow etc.).

Absolutely agree! I think abundance of online training sites (DataCamp / Coursera / Udemy) has made good fundamentals of data science fairly easy to find now from a recruiters perspective. I'm doing my AWS Machine Learning Certifcation at the moment and the cognitive leap from visualisations and hyper parameter tweaking to understanding full-on data application architectures and deployments is sort of staggering. The basics is stuff I sort of hope they might need, the big applications is what I know they will need.

@keylanoslokj1806

Жыл бұрын

What about simpler jobs like business or data analyst. Can you enter the field with less extreme tools?

@vincentadultman6226

Жыл бұрын

If you don't mind me asking, for how many years have you been using aws cloud ? The official site seems to suggest 2 years, but can it be done in less?

@rossgo101

Жыл бұрын

@Vincent Adultman Here's the odd thing. I've never actually had a job that uses AWS. All my learning has been done via AWS Skill Builder, Cloud Guru (the game-ified scenario training) and udemy courses. I passed my cloud practitioner about 9 months ago and just passed my Machine Learning Certification there. Very possible to do it in less than 2 years, but you need good data science theory to get the main themes, and I honestly think it's your luck how difficult some of the MLOps questions can be in the exam.

@vincentadultman6226

Жыл бұрын

@@rossgo101 thanks a lot dude

@killo4life

Жыл бұрын

@rossgo101 did you skip AWS Solution Architect Exam and went straight to Machine Learning?

This is super helpful and thanks so so much! Would really love to see a part 2 deep dive into this topic if possible

@GregHogg

Жыл бұрын

I don't think I have a direct part 2, but you're super welcome!! :)

Good stuff as always! Can you give us a spoiler about what problem the startup you are working on solves?

@GregHogg

Жыл бұрын

No spoiler!

The main question is - how to get a first job in DS without much experience, even as unpaid intern? It turns out, that nobody actually wants inexperienced workers. Most of the companies, especially startups, want the job to be done.

@GregHogg

Жыл бұрын

It's always tough to get the first one. You'll need to build up your resume and skills as much as you possibly can. Grind!

@mikekertser5384

Жыл бұрын

@@GregHogg Trying to do my best and learning something new every day. Thanks to your great videos, as well... :) Still, getting it to a professional level is a challenge for me.

@mohit4902

11 ай бұрын

Data Science/Business Analytics/Data Analytics/Data Engineering will soon be automated, the sexiest jobs of the 21st century now are - Cybersecurity, Product Management, Program Management, Network Engineer (unexpected, right), Electronics Engineer and Software Engineer

@univuniveral9713

11 ай бұрын

Companies probably don't want unpaid interns, especially in Europe, because soon you are gonna accuse them for slavery. In USA and Canada, I think you can have some luck.

@mikekertser5384

11 ай бұрын

@@univuniveral9713 Actually in Europe the companies are more open towards remote interns from all over the world. In US they want only citizens or green card holders.

Thanks Greg! ❤

@GregHogg

Жыл бұрын

You're very welcome ❤️

insightful, thanks!

how do you know it can't build the whole castle soon?

Hey thanks for this video. This whole space is really muddy and hard to get a clear idea from someone who actually knows what theyre doing. Thank you for sharing and I really hope to apply this knowledge!!!!!!!

Thank you Greg.

My personal plan is to combine my currently ongoing programming education with my art-school education because I believe there is still a lot of untapped potential there. And I honestly don't even expect to find a decent job with those credentials in this economy, even though I believe combing X with programming e.t.c will be the future for X. I dunno i still suck at programming anyway lol

One question, where does your expertise come from?

The "hire a data scientist to build a full data product" thing only exists when we talk about start-ups, where this is only done to save heaps of money that would have otherwise been sucked up by highly skilled and highly earned developers, architects, and data engineers. It will never exist when we talk about medium-to-large enterprises, where no stakeholder on planet earth will ever trust a customer-facing application built solely by data scientists.

@GregHogg

Жыл бұрын

If that's the case, then data scientists are only for analysis and model building. This is tremendously easier than it once was, so there's gonna be a ton of competition. Gotta stand out somehow

@maveriks463

Жыл бұрын

Inclined to agree with this.. awareness of a new expanded DS does not apply to small medium/large enterprises yet... my thoughts are better to go from swe + ML + cloud to DS expanded role. Than DS + full stack Swe +cloud+ops....

@criptik5208

Жыл бұрын

​@@GregHogg can you make a part of this video on this stuff

@criptik5208

Жыл бұрын

​@@GregHogg then what else were data scitist for exoet analysis and model building

@alienboogieman

Жыл бұрын

Are data engineers truly engineers though?

Thank you for this.

Thanks for the solid advice.

@GregHogg

11 ай бұрын

Very welcome - have a great day!!

I disagree, if you're a data scientist in charge of prototyping an algorithm that will make critical business decisions and/or potentially affect the lives of many people. I'm sure the last thing you would want to do is to spend your time on JavaScript/CSS/HTML. If ChatGPT can help you make graphics more quickly, that's great. But the world of data analysis, unlike engineering, is something that never ends.

@GregHogg

11 ай бұрын

If you're comfortable in an important job already, of course you can focus on that. This advice would be for the folks that have not yet cemented themselves as an important part of a company

I’m about to graduate with my bachelors in data science. Definitely needed this

@BrianGrant-Home

Жыл бұрын

Same here! High 5 and congrats!

@Dreadheadezz

Жыл бұрын

@@BrianGrant-Home we did it Brodie 🫡

Hello, I come from a different background in Mechanical Engineering and am pursing a MS in Data Science. It feels like we are learning very superficial Data Science of knowing stats, ML algorithms ,and how to apply the ML algorithms. I worry that I am going to graduate with just knowing baseline models, without making a project of my own. You had mentioned, instead of this superficial knowledge, to build full applications. But can someone explain what a full application entails and a typical structure/plan for how to build such application? Much appreciated

Any suggestions about what kind of application should I build?

@GregHogg

Жыл бұрын

Whatever you enjoy

Greg is right. I don't see that a lot has changed however. A full stack developer has a lot more opportunities than other folks.

@akihiko99

Жыл бұрын

Why how?

@datapro007

Жыл бұрын

@@akihiko99 Where, when, who?

@jcantonelli1

11 ай бұрын

Sure, what company doesn't want to pay 1 salary for 2-3 positions?

@datapro007

11 ай бұрын

@@jcantonelli1 Why not understand the whole system instead of being an assembly line worker?

@jcantonelli1

11 ай бұрын

@@datapro007 That might be possible with smaller, simpler applications at start-ups, etc. - but, at larger organizations no one person can deeply know every single aspect of an enterprise-level stack. We don't have "full-stack" surgeons for exactly this reason.

Very smart advise.

@GregHogg

Жыл бұрын

Thanks!!

Hey Greg, thanks for this video. It gives me a little bit of direction in these trying times. I am a industrial engineer graduate who became a software engineer and am now pursuing MS in computer science - but I am struggling to decide if I should take more software engineering type stuff or more analytics. Due to how rapidly the analytics space is changing, I think my best move would be to just focus on becoming a full stack engineer

I think the Lego bricks analogy you made is very appropriate.

@GregHogg

Жыл бұрын

Okay perfect!!

Thanks brother got to learn more❤

@GregHogg

Жыл бұрын

Good luck :)

What "path" do you recommend people take to become gig worker HR specialists in temporary hiring agencies and clerks in government unemployment lines?

Great video 👍...What advanced ML architectures do you recommend I learn?

@GregHogg

Жыл бұрын

Well obviously transformers are pretty popular these days, so that would be a good recommendation

@gnavarrolema

Жыл бұрын

@@GregHogg Great. Thank you for the recommendation.

Thank you for this video, Greg! A thought that struck me right away - can you update the Data Scientist roadmap, having mind the changes you mentioned?

@GregHogg

Жыл бұрын

I already have cloud stuff in the roadmap:)

@jacklinetum5460

Жыл бұрын

​@@GregHoggwhere can I get the roadmap

@jacklinetum5460

Жыл бұрын

​@@GregHoggwhere can I get the roadmap

@CTEBACp6uja

Жыл бұрын

​@@GregHogg And what courses would you recommend to learn to build full applications?

Thanks for the amazing content. I have an intermediate level knowledge of deploying ml apps on gradio and streamlit. Will this be enough for me to get an entry level role?

@GregHogg

Жыл бұрын

You're very welcome! I would learn something REST-based :)

So, uh... What do you comsider a full application? I unfortunately only know how to build jupyter notebooks...

@GregHogg

Жыл бұрын

Pretty much anything else haha

Im a little half way through my data science masters should I i finish or switch out, the field is looking bad, i dont feel like Im learning enough

@Sammmmm221

4 ай бұрын

any update on what you decided to do ?

Great video Gregg!! Thanks! Quick question though, what is the top course you recommend to learn how to build the lego castle first? Cheers!

@GregHogg

11 ай бұрын

No problem! And I'm working hard on building it!!

@edalarconreal

11 ай бұрын

@@GregHogg cool! Let me know!!!

that's true! aligning the people in the right direction!

@GregHogg

Жыл бұрын

I try!

Thanks!

@GregHogg

Жыл бұрын

Thank you so much, I really appreciate it!!

In order to get into data science field, we should not only grasp basic knowledge, but also the advanced methods and domain knowledge for applications

I studied industrial product design & I work in marketing. What would you think I should do full stack softw or data? I usually work for myself, as a freelancer. And I am looking for more building blocks to build my portfolio & start my own agency.

@GregHogg

11 ай бұрын

You will need to figure that one out for yourself! :)

Thanks so much for doing this video!!!

Thank you for the video, now need to become a full stack data scientist for that I just discover Runaway for deployment Could you recommend any one like this?

@GregHogg

Жыл бұрын

Never heard of it

Great stuff, I have been serving two roles for my company for a while, one is business analytics ChatGPT made that so much easier for and now I have time to do my real job.

@GregHogg

Жыл бұрын

Sounds great!

Thought of getting into ds but it is becoming more complicated What do u say get into it or quit?

@GregHogg

Жыл бұрын

Get into it

Does that mean to develop ourselves more as a Machine Learning Engineer, so basically to become more of a software engineer with the MLOps knowledge?

@GregHogg

Жыл бұрын

Yes!

Yo I want that Python hat. I view ChatGPT like I do pinyin when I type Chinese. I can't manually write each character, but I do have to know how to read Chinese. The computer/phone gives recommendations as you type in the phonetics of the words. Sometimes the recommendations are really poor, so it's vital to have a strong understanding. It's efficient in the correct hands

Pretty good for the current situation, but you are referring to the future. The situation is rapidly evolving and I think its not very accurate to assume that it will stay the same in the near future. Even in the next couple of years things will change. Right now I am working on a startup that uses GPT-4 to control VMs to install software or write simple web applications which are hosted immediately at unique IP addresses on the internet. I have also done a contract recently to pay the bills where the user asks a question, GPT-4 writes the KQL for pulling data from a table, and returns the result. It can also (if appropriate) analyze the result table and give an answer in prose, or even generate an arbitrary graph on the fly if that is requested. You are correct about the limited context, but that is also changing quickly. Anthropic's new model can ingest 100,000 tokens. Its not quite at the coding level of GPT-4 but they will get there. The hardware and software will continue to accelerate, especially over the next couple of years since there is still low-hanging fruit for optimizations of this specific application (GPT) in hardware and model tweaks etc. Within a few years, and certainly within five years, we should anticipate human-level reasoning at 100 or more times human thinking speed. Available to consumers (if not prohibited by governments). That is how fast compute performance improves. That's not even really speculative given the history of compute efficiency gains.

@mamneo2

Жыл бұрын

Incroyable.

@aurelienfontaine6287

10 ай бұрын

Good question

A top-notch true, dude. Know the basics of your stacks and be good at prompt engineering ~ Respect

Thank you

@GregHogg

2 ай бұрын

You're very welcome!

Thanks, THis is the best advice i've recieved thus far

I have been learning alot of coding lately. I do learn online alot but I just wanted to point out that you should probably still make a ton of projects. My ideas have got me to learn so many different areas I would not have thought of

Thanks for the vid. Straight up no BS.

I am thinking about taking the data science course which one to choose and is it better to take the data science course in 2023

@Universal-Code23.

Жыл бұрын

@@ChandlerLaura where we can talk with each other

Great job

@GregHogg

Жыл бұрын

Thank you, best of luck to you! :)

Fully agree.. man..fully agree

@GregHogg

5 ай бұрын

Thank you!

I think you also need to become a pro using pretrained models for solving your problem. It saves you time, money and data size and results are astonishing!

@GregHogg

11 ай бұрын

This is also really good advice.

@helloEther

9 ай бұрын

Any pointers to the resources that can help develop this kind of skill sets? Thanks.

I think this is the right answer. Building things that combine the entire process, front to back, will demonstrate the skills.

@GregHogg

Жыл бұрын

Yeah absolutely!!

@alienboogieman

Жыл бұрын

What's the confidence level of your claim?

Greg's desperation for your attention in quite palpable, but I'm not blaming him, I blame the KZread algorithm for making content creators plead on their knees for subs and views. I miss the days where it was just about providing useful information.

@GregHogg

7 ай бұрын

Honestly, kinda with you. I mean, I certainly tried to provide useful information. Sorry if I didn't. But yeah, you kinda have to be clickbaity these days.

I think feature engineering is the main thing you should be learning in DS.

You forgot to change the background screen?

@GregHogg

Жыл бұрын

Whoops

Thank. Did not regret entering the contract.

Hi Greg, I am kind of confused? From your conversation I hear a lot of generalizations. You mentioned that Data Science has changed and is now drastically changing. Forgive me but I kind of understand what you are aiming at but what you are saying lacks substance. Would it be possible if you could elaborate further in detail and articulate precisely in clarity your overall meaning? I understand, every KZreadr state that Data Science is a generalist role depending on the company and their requirements. But when I hear an explanation about what Data Science is, I tend to hear that Statistics is the primary tool, please correct me if I am wrong. I am guessing since statistic is applied then I would be under the impression data is the source and data can only be found within a relational database, correct? Such as a relational database like Azure, AWS, MySQL, Snowflake? How do Data Science provide value to Organizations when the job isn't clearly defined? Lastly, just out of curiosity? Why are you interested in JavaScript? How does that pertain to your job? Is learning JavaScript a hobby of yours? I mean I can understand learning R? Python? Even possibly Swift for iOS because I hear Swift is an exceptional programming language which is capable of dealing with large datasets. To be honest if I were aiming at becoming a data analyst even a Data Scientist. I would rather stick with Python because Chris Lattner the creator the LLVM and the creator of the programming language Swift has created a programming language called Mojo. Mojo is similar to TypeScript in a sense but yet it is not. It acts like a wrapper over Python and to my understanding it is a very fast programming language capable of multithreading and other amazing things which make it really good for AI and machine learning. I am not trying to insult or anyone. This is not an attack but merely someone who is very curious and interested in what a Data Science is despite my personal opinion that Data Science will be nonexistent within the next 10 years, I hope I am wrong. Thank you.

@GregHogg

Жыл бұрын

You're gonna have to summarize this, this is way too long

So the advise is to be good at the job to be competitive. I expected a bit more - perhaps before and after?

@GregHogg

11 ай бұрын

Pretty sure I said more than that lol

Amazing 😊

@GregHogg

Жыл бұрын

Thank you!

What's the green screen used for 😂

@GregHogg

Жыл бұрын

In my talking videos, not much lol

I have software that will change how we use computers on a fundamental level. I'm not the only one working on it and I'm pretty sure I can't be the only one working on it with the same intention that I have. Wish I could find some VC and a CEO.

@univuniveral9713

11 ай бұрын

I know of an inventor and programmer that you might need. He also created something new for COVID, but it is not yet implemented. It is published by Cambridge university press. However, to implement it, you guys need to work with biochemical teams of the pharma. It is worth talking to him as this could land you all in billions of dollars. It all depends on how you guys implement and market it. For that, bio and pharma have to sponsor you because you need an income while working on it. I am also interested in this.

@EternalKernel

11 ай бұрын

@@univuniveral9713 Thank you for recommending someone, but it doesn't sound like we are working on the same type of thing to me.

This is a really great advice. Hope people get it.

@GregHogg

11 ай бұрын

Thank you!

good videos and right to the point

What does it mean to build data scince applications

@GregHogg

Жыл бұрын

Like something outside of just a notebook only

This just sounds like a token window problem

In summary, Data Scientists will need to demonstrate tangible value instead of endless tinkering with data.

@GregHogg

Жыл бұрын

Yes!

"Code stitcher" is the new job title

@GregHogg

Жыл бұрын

I like it

It's true that you said but not at this time. Data science nowadays even don't have ChatGPT or any AT tools, juniors need to know a lot of stuff more than just building good models or EDA because everything is much easier than before, When I first get a job as DS, I need to. know how to do SQL, Python, multiple BI tools, and strong communication skills which is a core thing from my perspective. If someone thinks that Data Science is just only creating the model and EDA, I would know that they aren't even in a field. I felt really bad for further newcomers because the minimum requirements would be much higher, You need to know something much more than before because ChatGPT could help us and reduce the time and cost to hire a junior and intern.

@GregHogg

Жыл бұрын

Yes this is correct.

Moments ago I decided that this issue (collaboration, and big picture building issues) was my unique skillset giving me an awesome entry point into the field and then I watched your video telling me that same thing minutes later. Boy do I wanna talk to you.

@GregHogg

Жыл бұрын

Amazing!!

It’s nice having a clearance job. ChatGPT is banned. So I’m safe for awhile

Think stats masters is a good idea rn given the job market?

Any comments on MS Fabric?

@GregHogg

Жыл бұрын

Not really lol

Thank you for adding tracking links

@GregHogg

9 ай бұрын

You're very welcome

و قل ربي زدني علما و علمني ما ينفعني و انفعني بما علمتني

So you need to know both ML methods and how to build actual applications, rather than just knowing how to do the machine learning model experiment and analyze the data.

What do you suggest is i am from cybersecurity background what do you suggest me being at my place, please suggest me a high level roadmap

Where did you get that hat?

@GregHogg

8 ай бұрын

Redbubble!

I mean,I get what you are saying but if I understand the entire picture and can build the whole thing myself, why am I working for someone else instead of building a start up,

@GregHogg

10 ай бұрын

Ding ding ding!

@jacktaylor1516

10 ай бұрын

@@GregHogg Nice, I see your point

so did I just watch a 6 minute video to be told that in order to get hired I need to be good at my job

Chat GPT output still needs someone to debug it

@GregHogg

Жыл бұрын

Yes, it does

Can someone explain what he means by actually building applications

I disagree. There's just too much thrill about full stack ML apps. You need a deep knowledge in mathematics and this is extremely hard. I simply don't understand how anyone can pretend to build a system on fuzzy concepts.

اللهم افتح بيني و بين مستقبلي فتحا مبينا و أنت خير الفاتحين

sorry im new here. what exactly do you mean by "building applications" in data science ?

@GregHogg

9 ай бұрын

Apps. Usually web apps that are on a cloud.

@ilovedogs938

6 ай бұрын

Do you mean like building dashboards and platforms? On cloud like AWS or Google cloud?

be an exceptional person, got it. what a tip. nobody would have come up with this grandious advice, definitely worth a 9 min watch about nothing. XOXO

Able to putting things together is just matter of time, look at auto-GPT, unfortunately, I think data analytics is no longer a good career as it used to be.

@GregHogg

Жыл бұрын

We'll see. There's a lot of errors and extremely particular stuff that goes into full, completely correct and SECURE applications

What do you mean by advanced stuff?

@GregHogg

Жыл бұрын

Transformers for example

@cromllo7162

Жыл бұрын

@@GregHogg what kind of transformers, Autobots or deceptions😂? No really, what kind?

Hi Gregg, i have a bachelors of science in Biology and then received a masters MBA in data analystics. Can i become a data scientist with my credentials? Kindly advice.

@ilovedogs938

6 ай бұрын

How did you go from Biology to a masters in data analytics? Usually they require a numerate subject as a bachelors? I'm asking because I have a degree in Biomedical Sciences and trying to become a data scientist. Usually people enter data science by becoming a data analyst first.

@Lawlesslarry69

6 ай бұрын

@@ilovedogs938 not necessarily. Some schools accept your application as long as you pass their prerequisite exams or self teach yourself prior to enrollment.

@ilovedogs938

6 ай бұрын

@@Lawlesslarry69 thanks for your response and love the dog btw in your profile pic ! Are you in the USA? I'm in London, it seems they're more flexible there which is good.

@Lawlesslarry69

6 ай бұрын

@@ilovedogs938 yes I'm in the USA. And my this is my dog of 15 years who passed away in 2017. I miss him dearly. Half Husky, half golden retriever

@ilovedogs938

6 ай бұрын

@@Lawlesslarry69 where did you do your masters? Was it online?

Can SMOL Ai replace data science?

@GregHogg

Жыл бұрын

Idk what this is

But how!!!! Giv us something more on the thing of the ending

Virtual assistants will not gonna replace anyone. The more people and faster gonna jump in that trap the better for rest. Cybersecurity and hacking stuff will be so much easier then ever 😂 Web pages and data is safe(at least little bit) because of human factor.

Data Science/Business Analytics/Data Analytics/Data Engineering will soon be automated, the sexiest jobs of the 21st century now are - Cybersecurity, Product Management, Program Management, Network Engineer (unexpected, right), Electronics Engineer and Software Engineer

Thanks bro 😎, you've earned yourself a new subscriber

@GregHogg

Жыл бұрын

Super glad to hear that ☺️