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What REALLY is Data Science? Told by a Data Scientist 

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21 июн 2018

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Комментарии : 3,6 тыс.   
@justindulay2536
@justindulay2536 3 года назад
these are what i watch when im depressed about my career at 1am
@mohamadalimansuri4757
@mohamadalimansuri4757 3 года назад
We gonna make it ...one day
@user-fp7ug6ye9f
@user-fp7ug6ye9f 3 года назад
Exactly, I am watching this at 12:33AM so to find my passion and purse an undergraduate programme.
@onemore_trip
@onemore_trip 3 года назад
Yes I am watching because I am bored of my job😂
@gilberte.tegouch5188
@gilberte.tegouch5188 2 года назад
SHUT UP, 1:45AM
@gladsonpaul1079
@gladsonpaul1079 2 года назад
Me at 1:10am
@derrickwillingham4596
@derrickwillingham4596 4 года назад
“What tools do you use... we don’t care”
@CofeeAuLait
@CofeeAuLait 4 года назад
Agreed, the job is not about crunching the data but to make an impact with it.
@hellodata7654
@hellodata7654 4 года назад
@@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
@missionpupa
@missionpupa 4 года назад
Well, its called data science, and not data coding for a reason. Its about getting the job done, whatever means. simple as that.
@osito9810
@osito9810 4 года назад
I totally agree with you. Python, R, SAS ? That don’t matter ! the purpose is to find solution for the company
@antsly
@antsly 4 года назад
For many companies though, the tool does seem to matter
@fox_trot
@fox_trot 2 года назад
Days worth of knowledge compressed in 11 minutes. Why isn't the world of youtube more like you. Thank you Joma.
@factorfitness3713
@factorfitness3713 6 месяцев назад
Nothing against Joma, it's a great video, but "days of knowledge?"
@astarkdan
@astarkdan 3 года назад
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!
@kevind97
@kevind97 6 лет назад
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.
@jomakaze
@jomakaze 6 лет назад
good luck randall!
@pornimam1166
@pornimam1166 3 года назад
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.
@fannypack7705
@fannypack7705 2 года назад
@@jomakaze awww
@toued4714
@toued4714 2 года назад
Things aren't funny anymore it's gay
@samiulislamdurjoy9416
@samiulislamdurjoy9416 2 года назад
Some people r saying that data science is going to vanish in just 5 years....bt don't listen to them...
@liamw7565
@liamw7565 3 года назад
Can we talk about the fact that he drove to the office to print off a chart and then FedEx it to himself 😂
@sharozearcher2808
@sharozearcher2808 3 года назад
That was genius!
@chrisgestalis3563
@chrisgestalis3563 3 года назад
Oh my god the real world moment was just incredible
@teedo76
@teedo76 3 года назад
you mean (driven) to the office by his ex!
@rizishere19
@rizishere19 3 года назад
Wait..what??!! :D
@preetikadavesar1509
@preetikadavesar1509 3 года назад
@@teedo76 hahaha I was about to say that 🤣🤣 that was the funniest part and he did everything with a serious poker face.🤭🤭
@SashaInTheCloud
@SashaInTheCloud Год назад
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.
@nataliewarner6451
@nataliewarner6451 2 года назад
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!!
@shupesmerga4694
@shupesmerga4694 3 года назад
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.
@alluringbliss4165
@alluringbliss4165 3 года назад
😂😂
@sugma1142
@sugma1142 3 года назад
I read your comment first then watched video lmao
@reeannfernandez242
@reeannfernandez242 3 года назад
I'm the person who hit like to make it 500 under this comment
@shupesmerga4694
@shupesmerga4694 3 года назад
@@reeannfernandez242 hahaha awesome. I wonder who the 600th, 700th and so on would be or if they would comment. Haha!
@jevans1017
@jevans1017 2 года назад
lmao gold.
@athenasalomons5847
@athenasalomons5847 5 лет назад
This is definitely the most helpful video I’ve seen. Especially the hierarchy of needs for small, medium, and large companies! Thank you Joma.
@nabeel123ful
@nabeel123ful 4 года назад
Same to me! Benefited a lot from this video! Great job indeed.
@vilopez393
@vilopez393 11 месяцев назад
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.
@JonDaiello
@JonDaiello 11 месяцев назад
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.
@azharchukusheva1616
@azharchukusheva1616 4 года назад
I love that you straight up started from the main idea without making it boring and long
@miguelalba2106
@miguelalba2106 5 лет назад
2009: Statistics , 2019: Machine Learning, 10 years challenge
@avgmean4187
@avgmean4187 4 года назад
@Lee Rozzelle Data Science is just Applied Statistics rebranded
@johnwig285
@johnwig285 3 года назад
@@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
@eliesaber3948
@eliesaber3948 3 года назад
@@avgmean4187 man you cracked that in a nutshell
@natalidesanti
@natalidesanti 3 года назад
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 ❤
@yesreally623
@yesreally623 3 года назад
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!
@ObZzErVeR
@ObZzErVeR 6 лет назад
Show some hands-on stuff with python, pandas, numpy, matplotlib, sql, etc. like tasks you do on the job
@attaboyroy21
@attaboyroy21 6 лет назад
100% need this
@mclovin6537
@mclovin6537 6 лет назад
Agreed, the overview is great but would be even better to have hands on with more details
@Mohammed-hl7qb
@Mohammed-hl7qb 6 лет назад
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 RU-vid.
@MrKyokure
@MrKyokure 6 лет назад
yeah, I'd like to see that from the bottom of the pyramid all the way to the top
@martincontrera1429
@martincontrera1429 6 лет назад
Stop asking like a child. And start working/searching instead of wanting someone to give all information for free.
@Promar22
@Promar22 6 лет назад
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!
@cadmus6397
@cadmus6397 2 года назад
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!
@candidlyvivian
@candidlyvivian 2 года назад
Hey Cadmus! Great to hear you’re trying to transition 😊 Fellow data scientist and small RU-vidr 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? :)
@lucianoinso
@lucianoinso 2 года назад
my whole pyramid ( ͡° ͜ʖ ͡°)
@ScribblebytesWorldwide
@ScribblebytesWorldwide 2 года назад
How are things?
@michaelu8474
@michaelu8474 Год назад
How are You?
@thiha8372
@thiha8372 Год назад
How’s it goin?
@davidtham7617
@davidtham7617 2 года назад
this video definitely cleared my thoughts on DE and DS. Thanks Joma!
@saharshpoddar8261
@saharshpoddar8261 4 года назад
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.
@Rzrizaldy
@Rzrizaldy 3 года назад
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.
@adipurnomo5683
@adipurnomo5683 2 года назад
What name company?
@BeunckensJeroen
@BeunckensJeroen 2 года назад
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?
@hamzahjaved5463
@hamzahjaved5463 2 года назад
@@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.
@theflavorranger2312
@theflavorranger2312 2 года назад
You don't use R??
@luismisanmartin98
@luismisanmartin98 2 года назад
@@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
@k.t.523
@k.t.523 2 года назад
Wow. Fantastic job articulating data science. Clear. Concise. Easy to follow. Thanks!
@rohanpunyarthi7317
@rohanpunyarthi7317 3 месяца назад
Best video I cam across regarding Data Science family job roles... Thanks Joma!
@aa35dd24
@aa35dd24 4 года назад
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!
@access2vivek
@access2vivek 4 года назад
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!!!
@ridetheheckler
@ridetheheckler Месяц назад
That is such a fantastic breakdown of data science and how it scales to various sized business models! Thanks @JOMA TECH!
@aidanadhirah9094
@aidanadhirah9094 2 года назад
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 :)
@ResilientFighter
@ResilientFighter 4 года назад
this is one of the most comprehensive and best resources i've seen
@igorfamkem4410
@igorfamkem4410 5 лет назад
Joma... You're a beast. Thanks for the breakdown . Most accurate I've seen so far. Thanks
@mothwaltz4163
@mothwaltz4163 Год назад
The different camera angles and entrances were so different from Joma’s current video style. Informative video
@hysteria697
@hysteria697 Год назад
Thanks for making this grand search for a major interesting and fun throughout your video! Keep it up man
@giabaohuynh2977
@giabaohuynh2977 4 года назад
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
@karolekessler
@karolekessler 4 года назад
Thank you Joma for taking the time to breakdown and simplify what jobs full under Data Science. 👍🏼
@garrettmireles3727
@garrettmireles3727 2 года назад
This is the most informative video I’ve seen on RU-vid. Thank you
@goodnewsidowu5415
@goodnewsidowu5415 Год назад
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.
@dudefromsa
@dudefromsa 4 года назад
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.
@weihaodi3616
@weihaodi3616 6 лет назад
I can see that you've put a lot of thought into this video (very clever with the multiple prints lol). Great work!
@jomakaze
@jomakaze 6 лет назад
sank yew sank yew
@athief
@athief Год назад
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.
@angellavado763
@angellavado763 2 года назад
Outstanding summary, Joma. Thanks a lot for the great work.
@elvin5304
@elvin5304 5 лет назад
I haven’t watched other explanations but your low budget explanations are great!
@einfacherkerl3279
@einfacherkerl3279 5 лет назад
1:12 results of data science
@bettys7298
@bettys7298 4 года назад
lol
@Chucklepilgrim
@Chucklepilgrim 5 месяцев назад
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 ❤
@AkiraWisnu
@AkiraWisnu 3 года назад
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
@nimamaleki1595
@nimamaleki1595 4 года назад
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!!
@aryanpuri6192
@aryanpuri6192 3 года назад
Hey can you tell what task you get to do there pls
@nicolecatacutan2757
@nicolecatacutan2757 2 года назад
hi did you finish masters/phD before getting a fine job?
@pushkarryt
@pushkarryt 2 года назад
@@nicolecatacutan2757 heyyy cutie pie;)
@brecamilla5451
@brecamilla5451 Год назад
do you like working as a data scientist?
@imxbobola
@imxbobola 4 года назад
Thank you for simplifying it all, I am currently doing what you are describing.
@divyanshukumarpandey3943
@divyanshukumarpandey3943 Год назад
Thanks for giving the comprehensive outlook what data scientists can be. It was very much confusing before watching this video but now its sorted out. Thanks a lot!
@sleepybraincells
@sleepybraincells 3 года назад
Very well edited :D You had my attention for the whole video
@migueldiazcabrera
@migueldiazcabrera 4 года назад
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!
@issueBucks
@issueBucks 3 года назад
"Thanks for driving...." "Shut the f*ck up" I am subscribing because of that statement.
@isidoredelpierro
@isidoredelpierro 3 года назад
Me too.
@HeresTheGenZFlorentineFolks.
@HeresTheGenZFlorentineFolks. 3 года назад
Then I realized she was serious!
@onehungryboy9438
@onehungryboy9438 2 года назад
yeah that dude is a pushover and she was lucky he just needed a ride, couldn't be me lmao
@hil449
@hil449 2 года назад
@@onehungryboy9438 lol thats all fake dude lmao
@ericksonlopes6897
@ericksonlopes6897 2 года назад
what is her @ tho??
@BlueWithoutBiu
@BlueWithoutBiu 2 года назад
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!
@rudrapanchal5011
@rudrapanchal5011 День назад
Of course he is a data scientist thats his work literally
@BlueWithoutBiu
@BlueWithoutBiu День назад
@@rudrapanchal5011 Nothing's wrong with a little encouragement and feedback, right? 😉
@rajagovind1783
@rajagovind1783 Месяц назад
Worth watching bro. Really appreciate the way you explained it!! Gave me a better understanding.
@francis191
@francis191 4 года назад
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.
@abhishek.chakraborty
@abhishek.chakraborty 4 года назад
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 🙂
@Ryujin97
@Ryujin97 3 года назад
Dude. I love the way you are making videos. So much fun watching this informative piece of work
@skyelarreed5404
@skyelarreed5404 Год назад
This was very helpful, thank you for clarifying things in such a concise way. Bravo!
@alvertas
@alvertas 5 лет назад
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!
@kakashisenpai99
@kakashisenpai99 4 года назад
A data scientist should be able to ask questions and should find the answers to it!
@TheMe0902
@TheMe0902 2 года назад
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.
@jenniferangelalopesmesquit4845
@jenniferangelalopesmesquit4845 3 года назад
Very well explained, by far the best video out there! Thanks
@Kohmijeung
@Kohmijeung 4 года назад
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 :)
@The_Student2
@The_Student2 8 месяцев назад
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.
@fan-gq8lj
@fan-gq8lj Год назад
Thank you sooo much, I hope all the youtubers can explain thing as clearly as you can
@teddy.yellowbuckets
@teddy.yellowbuckets Год назад
Thankyou for getting straight to the point, these other videos I watched on data science took forever to just say what it is
@andrillalukman5665
@andrillalukman5665 5 лет назад
This is interesting. And, yes, you're so cool and have made vivid explanation. Good job.
@kentanagamine1880
@kentanagamine1880 6 лет назад
Great editing/content. I would like to know more about how to ask right questions what you do on work
@Moiez101
@Moiez101 Год назад
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!!
@joaogabrielfekete9754
@joaogabrielfekete9754 3 года назад
You realize when something is well done when it's both entertaining and useful! Thanks for the video
@shanmukhasuryateja95
@shanmukhasuryateja95 5 лет назад
This is a very informative video. And I totally agree with the perspectives you shared Joma
@user-yy1gm7xt8p
@user-yy1gm7xt8p 4 года назад
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
@renesam88
@renesam88 3 года назад
Thank you so much... your video was so clear and helped me understand the difference between so many terms frequently used in this Data industry.
@the_pykid
@the_pykid 2 года назад
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.
@whatocaho2
@whatocaho2 5 лет назад
hey Joma! Just want pop in and comment, this video is giving me a better understand about this job's responsibilities. Thanks Joma! :))
@senz5220
@senz5220 5 лет назад
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
@idatawiz
@idatawiz 2 года назад
This is a great video demystifying data science! Thank you!
@SEOTOMICS
@SEOTOMICS 2 года назад
great great great description - very nice and simple presentation with artistism - nice bro.
@tekmepikcha6830
@tekmepikcha6830 5 лет назад
Thank you sooooooo much! This video was really helpful. Now I can better decide what aspect of DS I might want to learn and venture in.
@khairilhaziq4215
@khairilhaziq4215 2 года назад
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!
@brecamilla5451
@brecamilla5451 Год назад
hi! did you ever become a data scientist? just curious as i was looking to become one as well
@khairilhaziq4215
@khairilhaziq4215 Год назад
@@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
@brecamilla5451
@brecamilla5451 Год назад
@@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:)
@brecamilla5451
@brecamilla5451 Год назад
@@khairilhaziq4215 is it a lot of math involved?
@khairilhaziq4215
@khairilhaziq4215 Год назад
@@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
@rushabhbhatia4066
@rushabhbhatia4066 3 года назад
Wow, this video was awesome! Thanks for your insights!!
@akirabiersack1877
@akirabiersack1877 Год назад
i'm so glad you made it easy to understand , ispend many days looking for whar its actualyy about some requires learn coding others focus on decision but this made it clear
@somescorpio1798
@somescorpio1798 6 лет назад
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)?
@bl5623
@bl5623 5 лет назад
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!
@beterghimself
@beterghimself 4 года назад
I second this notion, can we haz a video on A/B testing plz?
@avantikagirigoswami2178
@avantikagirigoswami2178 Год назад
This was such an organized and understandable video on data science, maybe that's what makes you a data scientist, being so organised with the information to be delivered
@InsideTheProduct
@InsideTheProduct 3 года назад
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
@darshilgohel8468
@darshilgohel8468 5 лет назад
This is the information I was looking for!!! Thank you very much for creating this video and sharing your valuable knowledge.I profoundly appreciate it.
@iamblacksheep1
@iamblacksheep1 4 года назад
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!
@mvsaturno
@mvsaturno 4 года назад
Hi Dwight, still looking for one? Maybe I can help you out. Check my lkdin profile: www.linkedin.com/in/marcossaturno
@RicKuklinski
@RicKuklinski 2 года назад
This video is entertaining and very rich. Thank you, Joma Tech!
@justinbenavidez1985
@justinbenavidez1985 Год назад
I am really happy I found this video. thx Joma
@markmunn8989
@markmunn8989 4 года назад
I would like to learn more on A/B testing and analytics. Great videos educational and entertaining.
@datalover_ryan
@datalover_ryan 3 года назад
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.
@billpap7672
@billpap7672 3 года назад
link?
@shreyasinha4980
@shreyasinha4980 3 года назад
Yeah can you provide the link?
@magdaley6787
@magdaley6787 3 года назад
@@shreyasinha4980 watch his channel
@charliegil2007
@charliegil2007 Год назад
Your channel is so much fun and insightful.
@marcosconceicao3223
@marcosconceicao3223 3 года назад
Thanks for such a valuable video, Joma! I would really like some A/B testing tips, if you could make a video about it.
@MK384
@MK384 5 лет назад
Thank you for creating this channel. I've learned more from you versus my student advisor.
@subjectively-observered
@subjectively-observered Год назад
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 RU-vidrs haven't touched. Really informative. Thanks.
@akbhai19
@akbhai19 3 года назад
Very precise information, Helped me to get more clarity on DS, Thanks for sharing this video. Now I am more excited to kickoff my journey on path of Data Science .. Thanks You !! :)
@garudavg
@garudavg 3 года назад
Your insight was clear. Thank you. I scoured through RU-vid 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.
@kebman
@kebman 5 лет назад
- Thanks for driving me. - STFU!
@radcow
@radcow 4 года назад
Lol you'll let yourself be spoken to like the because she's hot lol ..... Shame shame on you 😉
@thomasfrederics58
@thomasfrederics58 5 лет назад
I would thoroughly enjoy hearing details about job duties on each level of the hierarchy... perhaps in a multi-part YuoTube video series?
@aliyo2430
@aliyo2430 3 года назад
I agree
@lingfeimao3393
@lingfeimao3393 3 года назад
That's a great video, thanks for sharing with us!
@96moliveira
@96moliveira 2 года назад
Amazing video man, congratz. nice work
@tarikzaki5442
@tarikzaki5442 4 года назад
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
@gameginger5529
@gameginger5529 3 года назад
same man it was fire
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