What REALLY is Data Science? Told by a Data Scientist
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- เผยแพร่เมื่อ 21 มิ.ย. 2018
- Interested in Data Science? Start with learning SQL to query data. You'll need it no matter which part of the data science pyramid you're interested in: joma.tech/sql
📱 SOCIAL MEDIA
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/ jomakaze
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these are what i watch when im depressed about my career at 1am
We gonna make it ...one day
Exactly, I am watching this at 12:33AM so to find my passion and purse an undergraduate programme.
Yes I am watching because I am bored of my job😂
SHUT UP, 1:45AM
Me at 1:10am
As a current college student, I really appreciate the breakdown of the different roles and responsibilities for Data Science. Keep up the good work and I would love to learn more about DS.
good luck randall!
I'm just wondering if I should choose data science as a career or not and this video is just to great. I mean explanation is really nice. It was helpful for me.
@@jomakaze awww
Things aren't funny anymore it's gay
Some people r saying that data science is going to vanish in just 5 years....bt don't listen to them...
Days worth of knowledge compressed in 11 minutes. Why isn't the world of youtube more like you. Thank you Joma.
Nothing against Joma, it's a great video, but "days of knowledge?"
Oh my goodness, this was the best explanation of a Data Scientist I've heard so far! The breakdown of what a Data Scientist would do at different companies was insanely helpful and clarifying for me. Much appreciated!!
“What tools do you use... we don’t care”
Agreed, the job is not about crunching the data but to make an impact with it.
@@CofeeAuLait So who crunch the data, we can consider it a part of the job? since in many times we have to solve some problemes related to data exploring, for exeple some data sets are not really complete, so there are many tools to process missing data
Well, its called data science, and not data coding for a reason. Its about getting the job done, whatever means. simple as that.
I totally agree with you. Python, R, SAS ? That don’t matter ! the purpose is to find solution for the company
For many companies though, the tool does seem to matter
Can we talk about the fact that he drove to the office to print off a chart and then FedEx it to himself 😂
That was genius!
Oh my god the real world moment was just incredible
you mean (driven) to the office by his ex!
Wait..what??!! :D
@@teedo76 hahaha I was about to say that 🤣🤣 that was the funniest part and he did everything with a serious poker face.🤭🤭
Such a concise, easy to understand, and thorough explanation you've got there. It can be understood clearly by someone like me, with no prior knowledge of what data science is and what it entails. Great content!
Of course he is a data scientist thats his work literally
@@rudrapanchal5011 Nothing's wrong with a little encouragement and feedback, right? 😉
Consistent nomenclature would be amazing, but startups are such havoc on that notion! Thanks for breaking down the startup vs midsize vs deep pocket lingo. It's easier to guess the actual role scope by company size and industry with a good breakdown like this.
Word: Data Scientist
Description: Data Scientist are people who uses data to create impact for the organization through insights, product recommendation and etc.
Where to find a Data Scientist: You will often see data scientist in public places like bridges, if there are too many people in the bridge, look for the person dancing goofily. That's the data scientist.
😂😂
I read your comment first then watched video lmao
I'm the person who hit like to make it 500 under this comment
@@reeannfernandez242 hahaha awesome. I wonder who the 600th, 700th and so on would be or if they would comment. Haha!
lmao gold.
I love that you straight up started from the main idea without making it boring and long
I've been interested in the term "data science" and what it could mean for me, my hobbies and career, and your video has been a brilliant introduction. Thank you!
It's a breath of fresh having someone so simply express the breadth of this career field. An onslaught of technical terms do little but confuse the curious. I will now quote mine Einstein: “If you can't explain it to a six year old, you don't understand it yourself.” Good video friend!
This is definitely the most helpful video I’ve seen. Especially the hierarchy of needs for small, medium, and large companies! Thank you Joma.
Same to me! Benefited a lot from this video! Great job indeed.
I'm a college student wanting to explore this field. You're been a great help. I'd love to watch ur videos on the breakdown of the buzzwords...ml, ai, deep learning, neural networks etc... btw loved the video.
One of the best definitions I have ever seen about what is Data Scince! Really helped me to see what companies could expect we to do, specially for those who cames from academia ❤
This is the most complete explanation I have seen. Thank you so much. I am planning on going back to school and was a bit confused regarding DS but thank you again for putting this into a more complete, synthesize, and easy to understand explanation.
Could you do a video showing some actual day to day activities on the job. Basically putting some of the things videos mentioned into context with some real life examples would be great (I understand this may be tough because of company rules on privacy/security etc) but anything of the sort is appreciated!
Show some hands-on stuff with python, pandas, numpy, matplotlib, sql, etc. like tasks you do on the job
100% need this
Agreed, the overview is great but would be even better to have hands on with more details
Hi Joma,
Please make a series about the whole data science process using real open source data, explain every step in the pyramid while doing live coding.
Explain the tasks and the tools used in real life.
I think you might get millions of views for that, because it might be the first series of it's kind in TH-cam.
yeah, I'd like to see that from the bottom of the pyramid all the way to the top
Stop asking like a child. And start working/searching instead of wanting someone to give all information for free.
This was super helpful! Thanks for explaining the nuances between the various responsibilities and how they play out in different roles at different size companies.
Published 4 years ago, but this is still helpful for many, like myself who is aspiring to be one and would like to know more before completely committing. Really really good explanation and breakdowns, and very comprehensible. Thank you for helping us clearing our thoughts and setting us on the right path!
hi! did you ever become a data scientist? just curious as i was looking to become one as well
@@brecamilla5451 im currently taking the course, still in my first year! so im on my way to become it. as far as i can tell, the modules ive been learning have been intriguing and seems applicable in the real life
@@khairilhaziq4215 oh that’s wonderful! so you like it? idk if i should start the course or not bc i’m scared i might not. but i think it is interesting so far from the video! also thanks for responding:)
@@khairilhaziq4215 is it a lot of math involved?
@@brecamilla5451 most definitely. and the math gets harder at the years go on. i got stuck on Computational Maths, but finally got the ball rolling and now can understand the lessons better. there's other modules that also involve maths, and its to be expected, however Computational Maths is the only one i feel like mentioning bcs its the hardest so far
Joma... You're a beast. Thanks for the breakdown . Most accurate I've seen so far. Thanks
I would love to see the stream of steps taken with the pyramid that you just showed us. Like saying what are normallly the steps taken to implement models in big companies. That would be so cool!
I wish I saw this 6 months ago! I've been trying to transition careers from physics to "data science" and after not having much luck despite what I thought to be very similar methods used in my former career, now its becoming clear why my resume is getting nowhere... I've focused on the top too much, haven't showcased my whole pyramid. Thank you bro!
Hey Cadmus! Great to hear you’re trying to transition 😊 Fellow data scientist and small TH-camr here, I’ve got a lot of videos up on my channel that talks about how to break into the industry and my advice, maybe it could help you out? :)
my whole pyramid ( ͡° ͜ʖ ͡°)
How are things?
How are You?
How’s it goin?
You realize when something is well done when it's both entertaining and useful! Thanks for the video
Man I got a whole lot of value out of this video! I'm a young data scientist, I've worked at both a corporate and a start-up, and I hadn't seen this chart yet! Thanks!!
Hey can you tell what task you get to do there pls
hi did you finish masters/phD before getting a fine job?
@@nicolecatacutan2757 heyyy cutie pie;)
do you like working as a data scientist?
You really made my day!!! This is the first time I can understand the core history of Data Science and the definition of it. Before that I still wonder that what is the difference between Data scientist, analyst and so on. Its such a great overview of Data Science I've ever watched!
Thank you so muchh
thanks dude for the awesome video! i just graduated in mechanical engineering but I kind of getting interested in venturing more in data science, so this video really helped a lot in understanding the overall role :)
this video definitely cleared my thoughts on DE and DS. Thanks Joma!
2009: Statistics , 2019: Machine Learning, 10 years challenge
@Lee Rozzelle Data Science is just Applied Statistics rebranded
@@avgmean4187 Quite near but at the same time now the job scope is way wider. Back then they are called Statistician, Quantitative Analyst. And back then the main degree for this was either Stats or Economics, not Com Sci
@@avgmean4187 man you cracked that in a nutshell
this is one of the most comprehensive and best resources i've seen
Thanks Joma! After watching this video I regain my confidence to work in the industry. All other video mostly just either discouraging for very technicals or simply misleading, was feeling kinda dumb when I'm no expert in Deep Learning and want to work in the industry as a DA, Analytics. Thanks for clearing the clouds, mate! :D
Thank you so much for your videos. Ever since I was a kid I wanted to be a computer scientist but while growing uo I discovered there are actually different branches to it. But you breaking this down gives me more knowledge of what I should branch into and learn more. I am in my third year in college and I am not going to lie it has been tough but I know it will get better with time. I have watched about 5 different videos just tonight that I found this channel, lol.
Thanks again, Mr. Joma.
I can see that you've put a lot of thought into this video (very clever with the multiple prints lol). Great work!
sank yew sank yew
Thank you so so so much for this information and clearing away so many doubts. Everyone keeps telling what Data Science is, but no one really told what it actually is and the breakdown. This makes things so much clear. Cheers!!!
I watched this video about 2 years ago, back than I didn’t understand anything about data science but knew clearly I want to learn more about this field. Watching this video back than was helpful but knowing what I know today (building some projects in ML during bootcamps and studying DS degree in college) made it absolutely clear now. I agree with the way you presented it and I like how you did it. It gave me better insights about a role I want to look for. Thank you for your valuable video.
This is definitely the most concise, clear and informative video about this topic i've come across so far. Being a college student this video was very helpful and entertaining.
Thank you Joma for taking the time to breakdown and simplify what jobs full under Data Science. 👍🏼
Completely agree, as a data scientist in telco company most of time what i needed i just SQL to retrieve data, Tableau to make quick insight, Python with Jupyter Notebook to build model and experiment with dataset after assessing from data insight and business knowledge.
What name company?
Can you explain what you mean with the Python part? My working experience is similar to yours; It starts at retrieving data with SQL but ends in Power BI for analysis. What does Tableau for example lack in comparison to Python?
@@BeunckensJeroen I am interested in it as well, I am a beginner in DS just freshly graduated. I don't understand why python is needed when tableu can pretty much generate visualizations given the data is clean and all.
You don't use R??
@@hamzahjaved5463 I don't know how tableau works but if I am not mistaken it is a software built for data visualisation, which means it is not as flexible as using Python where you can do whatever you want if you control the language and packages such as matplotlib
The different camera angles and entrances were so different from Joma’s current video style. Informative video
Very well edited :D
You had my attention for the whole video
This is a very informative video. And I totally agree with the perspectives you shared Joma
Hello, my name is Yang Qiao from Hong Kong, China, I hope to become friends with you, if you like, you can add my WhatsApp +852 66163679
I would love to learn more about A/B Testing, as well as any advice for aspiring Data Science Analysts. Awesome channel, so glad I found it!
I second this notion, can we haz a video on A/B testing plz?
I was a neuroimaging and clinical research scientist. I'm changing careers. My experience, knowledge, and abilities in advanced stats, coding, problem-solving, and cleaning/analyzing/visualizing data hopefully will allow me to transition quickly into data science. That said, I've been confused as to what aspects of data science the majority of my time would be spent on. You cleared up a lot, things that other TH-camrs haven't touched. Really informative. Thanks.
Wow. Fantastic job articulating data science. Clear. Concise. Easy to follow. Thanks!
Thank you for simplifying it all, I am currently doing what you are describing.
I have a startup and I'm looking for a data scientist to join my team. This was very helpful. Especially to someone like me who didn't know all the capabilities of a data scientist.Great work Joma!
Hi Dwight, still looking for one? Maybe I can help you out.
Check my lkdin profile: www.linkedin.com/in/marcossaturno
Outstanding summary, Joma. Thanks a lot for the great work.
Thanks for such a valuable video, Joma! I would really like some A/B testing tips, if you could make a video about it.
I would thoroughly enjoy hearing details about job duties on each level of the hierarchy... perhaps in a multi-part YuoTube video series?
I agree
Thanks a lot for explaining the terminology associated with DS jobs at various levels of the hierarchy 👏 👍
Makes it much easier now to apply to the _right_ job titles, rather than accidentally to a similar-sounding job that one actually *doesn't* wanna apply for 🙂
I thought this would've been a Joma meme video and was surprised by how unironically helpful it is
Great video! I'm pretty happy that what you said is really close to my guesstimates from several experiences in small and larger companies. Another broader definition I read somewhere is about the timing of the data-related tasks, it goes: "Data Analysts look at the present and past (with Analytics), while Data Scientist look at the future (with AI & predictions)", or something like that.
A data scientist should be able to ask questions and should find the answers to it!
seriously where have you been in my life? I've been reading a lot to understand about data science and had a hard time understanding it, and watching your video giving me a clear view about what actually data science is! thank youuu so much!
This was very helpful. I am in my senior year as a information science major with a concentration in data science/analytics . I’m currently in an internship working with big data, but everything is so confusing when I am trying to understand what I will be doing on an everyday basis in my career. This video has given me A lot of insight 🙏
Wonderful! I agree your point that there is huge gap between hot “AI” “ML” and what industries need. GAFA born with data, and of course targeting the top of your triangle of needs. Most of the other industries and public sector still are still looking at the static reports. They need the correct ways to do data analytics, rather than chase “data science”. I just uploaded a case study demo of data analytics for normal company’s normal process.
link?
Yeah can you provide the link?
@@shreyasinha4980 watch his channel
the most mature 11-minutes-video on data science i've ever seen .. and the dance in the intro ,man i've repeated it like 86 times :"D
same man it was fire
Thanks for making this grand search for a major interesting and fun throughout your video! Keep it up man
Your insight was clear. Thank you. I scoured through TH-cam for a clear understanding, yours gave the most clarity. I would love to learn more about Data Science. Can you make an example video of a problem and how a data scientist would actually solve it. Sort of a step by step process. Different problems faced by startups to Large scale. Looking forward to learning more from you.
Thank you so much for the insightful explanation. I would like to see what kind of portfolio we might need to prepare to start looking for a job as a Data Analyst. I'm very new to this, so this question might be quite naïve!
Thank you once again :)
This us the simplest and effective explanation I've seen since. Just put a lot of things nicely in perspective.Tha is for the breakdown.
Made a lot of sense after going through all those data science stuff online. You actually explain plain and simple for a decision to make upon it. Great ❤
The last part talking about the different occupations separation is super helpful for a new grad! I was doing SWE in my bachelor and now learning IT (AI stream) in my master degree. However, I have little knowledge about the thing in between which is data mining/ data science. I never have learnt about the structure of IT which divides into different fields of profession. Now I'm thinking to self-learn data science but I'm not sure about the my ability to handle this...
Hey Jiayu! You can do it!!! I completely understand where you are coming from - i'm a fellow data scientist and small TH-camr, maybe some of the videos on my channel can help you out? :)
"Thanks for driving...." "Shut the f*ck up"
I am subscribing because of that statement.
Me too.
Then I realized she was serious!
yeah that dude is a pushover and she was lucky he just needed a ride, couldn't be me lmao
@@onehungryboy9438 lol thats all fake dude lmao
what is her @ tho??
1:12 results of data science
lol
That is such a fantastic breakdown of data science and how it scales to various sized business models! Thanks @JOMA TECH!
My recommendation is to provide more information and tutorials starting from the bottom of the pyramid and working your way towards the top of the pyramid. This is the best recommendation for those of us who would be a one man operation working toward becoming a multiple people organization. Thanks!
Maybe you can make a series on Business Consulting as a Data Scientist (types of problems, how to demonstrate value, relevant areas of expertise, etc)?
You are spot on about the low hanging fruit. I work for a medium size company and your explanation is exactly what I experience. And here I thought we were just lagging behind.
80% of my job is cleaning data.
One of the key problems I find in companies that I worked for is legacy systems. It's crazy how much time we spend just dealing with legacy systems.
Would be interested if that effect you work.
Hello can i be a data scientist without university degree?
What problems did you face dealing with legacy systems? Any examples in mind?
This is the most informative video I’ve seen on TH-cam. Thank you
Best video I cam across regarding Data Science family job roles...
Thanks Joma!
I haven’t watched other explanations but your low budget explanations are great!
Great video, very helpful how you explain the hierarchy and how it scales to different company sizes. I think it would be a great idea if you can go more into the details in how this hierarchy can be applied to other industries. I work in aerospace manufacturing and would be cool to learn data science could be implemented. Cheers!
Dude. I love the way you are making videos. So much fun watching this informative piece of work
Very well explained, by far the best video out there! Thanks
Hi Joma - this was a necessary video. Explains the role of DS brilliantly and I particularly to enjoyed the analysis of the role relative to the size of the company.
hey Joma!
Just want pop in and comment, this video is giving me a better understand about this job's responsibilities. Thanks Joma! :))
This was super helpful brother. I'm looking to transition into data science but know nothing about it or programming. I love how you broke it all down concisely. I'd like to see more videos from you about the analytics part. Thank you!!
I'm a translator and I had to chance to get a scholarship for a masters program in the EU and its all about NLP. Being quite alien to the field, your video helped me out a lot. Thank you for the info. Next thing I'll be looking deeper into the roles you mentioned in the hierarchy. It all looks so interesting so far I love solving difficult problems and that's why I've practiced translation so far. However, simply coding in a remote work environment and minding my own business sounds good too. Pretty excited so far!
NLP is a very exciting field, I hope you decided to take it! Enjoy :)
This is interesting. And, yes, you're so cool and have made vivid explanation.
Good job.
Would love to see videos about machine learning/data science core 🤖
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We will be covering each and every topic in detail from scratch. Subscribe below channel to keep learning.
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@Michel Tamgho thanks..just did
This is SO helpful!! Thank you!
Thanks for the driving to the office and FedX package delivery humor.
Great editing/content. I would like to know more about how to ask right questions what you do on work
Hi Joma,
Please make a series about the whole data science process using real open source data, explain every step in the pyramid while doing live coding.
Explain the tasks and the tools used in real life.
I think you might get millions of views for that, because it might be the first series of it's kind in TH-cam.
Thats 20k $ thanks
Thank you for this video!! I’m a computer science student and exploring all the paths I can possibly take. I would love if you could do a video explaining what software engineers REALLY do on a daily basis. Thank you!! Keep up the great work :)
hi Maria! glad to hear you’re considering a career in STEM 🙂 I’m a fellow data scientist and post content on what a data scientist REALLY does on my own YT channel - while it might not be what you’re after, maybe my videos can help you out if you’re tossing between software engineering & data science?
Best video about data science ever, and the one that made me look much more into the building this expertise in my current job. Also great inspiration for my own youtube
Hi Joma! I just finished grad school in applied math this January and now realizing the importance of developing a portfolio for landing jobs. What types of data science problems are good project candidates that match industry needs right now? Thank you for making this video.
I would like to learn more on A/B testing and analytics. Great videos educational and entertaining.
That's a great video, thanks for sharing with us!
Oh man, you help me begin learn what i literally need to know
At my line of job, there is no DS, just SQL kids, any model that is not linear regression or contains more than 2 params is beyond the knowledge of the manager.
💀😂🙌🏼
Damnn💀
thank you so much for the video!!!! it helps a lot, i would like to learn more about data analysis and AB testing if possible
Really loved your insight and introduction to world of data science. It has been quite an inspiration to me to do my own bit as well. Thanks.
Please talk more about aggregate, labeling, and simple ML algorithm. thank you! this has been helpful.
Would like to learn more about A/B Testing! Thanks :)
Ajay Vasisht +1 how is the process different from test/train? Is it just that A/B is done live?
Oh, and thanks, @joma !! Your vids have been super helpful fo understanding the industry landscape of DS, since I’m a new Graduate 🙏🏽 very much appreciated.
www.udacity.com/course/ab-testing--ud257 that might help!
they're two completely different processes. A/B testing is about finding statistically significant differences in versions of products/services while minimizing the time/sample size needed to do so. Training and testing (and validation) are used to ensure your predictive models are not overfit--that they can generalize well to new, unseen data. But I suppose the concepts do intersect when you consider long-term use of predictive models--I have heard of companies that conduct A/B testing of different predictive models to judge when to replace old models with newer ones, given that over time the current data will begin to differ from the data used to initially train the model.
You might want to check the "A / B Testing: The Most Powerful Way to Turn Clicks Into Customers" book by Dan Siroker and Pete Koomen; the cofounders of Optimizely which is the leading company in A/B testing space:
www.aioptify.com/best-ab-testing-books.php
Would love to see a video on the "Analytics" aspect of Data Science
Thanks for the clear video, Joma. You earned a sub!
Wow, this video was awesome! Thanks for your insights!!
Thank you for creating this channel. I've learned more from you versus my student advisor.