The Only Data Science Explanation You Need
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- Опубліковано 9 чер 2024
- This video is for anyone who wants a no-nonsense explanation of what data science is and the type of work that data scientists do. Maybe you heard of data science and you wanted to learn more. Maybe you work with a data scientist and want to better understand their role, or you even have the goal of becoming one. This video was made for you.
Data science is actually quite a bit older than many of us realize. It was first mentioned with computer science and then with statistics.
Data science is an aptly named field. Data science is a domain where we work with data to generate some form of value. And we use scientific techniques to extract this value.
0:00 Intro
0:38 A (Very Brief) History
1:13 What is Data Science Now?
2:18 How Data Scientists Create Value With Data
6:04 What Problems Can Data Scientists Solve?
7:58 What Questions Can Data Science Answer?
8:30 Machine Learning vs Data Science?
9:00 How Do Machines Learn?
10:11 What Tools Do Data Scientists Use?
11:25 What Do Data Scientists Produce?
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Thanks for watching everyone! Let me know below if you would be interested in a similar video to this for Deep Learning or Model Evaluation! 👇
I actually wouldn't mind a detailed video on model evaluation, it would be of great use!
🙋🏼♂Interested in DL!!
Yes please
Interested in DL
Definitely interested in that! I'm getting into Data Science as a field I might want to change careers to (from Software Engineering)
I've never seen a video so effectively inform an audience of everything a complete outsider to the topic would need to know without BS and droning on. You made my career path easier and I aspire to be as fluid and effective as you are as a speaker. Thank you!
This one made me blush! Really glad to hear that the content was helpful!
I agree, this is the only explanatory video about data science that one needs, and yet simple and concise :)
Thanks for watching Data Prof!!
I have watched at least 5 to 6:00 training videos on the subject of ml and deep learning etc. And I will tell you that it has taken me four times as much effort to understand that s*** sorry to use a four letter words then to the value that I got out of it. Whereas your of comments and explanations and conceptual arm waving has given me so much so many answers that I wish I hadn't wasted so much time on the four or five of the training videos. I think you should be creating at least another 5 or 10 videos, similar videos and different topics or concepts of the whole machine learning and and and and and and related topics. I am so happy that I found you your presence and I'm so very grateful for the effort to putting in and I would be even more grateful to see more videos from you. Thank you so very much. Enjoy your day!
Makes me happy to hear! Will try to make more videos of this nature!
Data Science:
1.excell
2.SQL
3.python
4.tableue
5.Statistics SPSS
6.tensorflow
7.pandas/numby
8.IDE Jupyter
Etc etc... As data science is also expanding like universe 😀
Great video, Ken!
One of the first examples of Data Science(though it was not called Data Science then) comes from John Snow’s famous map of the 1854 Broad Street cholera outbreak. Before germ theory was known, it was thought that Cholera was simply in the environment and that it spread at random. John Snow conducted interviews, mapped data points and graphed the results, leading to a single water pump being identified as the culprit. This was founding moment in Epidemiology and Public Health.
Just sharing my learnings as well. Cheers :D
Yes! One of the coolest examples!
It's amazing how Jon Snow gave the world a great example for Data Science, Epidemiology, GIS and the likes. A legend!
Wow great, thanks for sharing 😀 Insightful 💡
What an amazing legacy. It's hard to believe that he will largely be remembered for knowing nothing.
I'm dipping my toes into the world of programming and com-sci and I was so confused on what a data scientist actually is but this really helped
Really happy to hear! Thanks for watchin!
I noticed in this video you mention the tools used for a Data Scientist but don't say too much about the math that's used regularly. This seems to be a common trend on "How to Become a Data Scientist" videos. They almost exclusively talk about learning Python, R, SQL etc. but rarely go into any detail on the math involved in the field. I'm in a masters program for Data Science and it's pretty heavily math focused to begin. Just an idea for a future video.
Anyway, thanks for consistently putting content out, you're videos have really helped me in understanding the direction I want to go!
Great observation Grant! This video was more targeted for those who aren't planning on becoming data scientists, just to get a feel for what the field is. (Hopefully) in my videos more catered to people wanting to learn the profession I have more of the relevant math. I am definitely planning to make a few more videos on the math in the future. Thanks again for watching!!
As always Ken, superbly done. Concise and brief without getting into too much jargon and getting to the pith of it.
Thanks for watching Vikram!
My god you are the only person in this internet who actually explained what data science is.
Not sure if this is sarcasm or not, but I appreciate you watching the video!
THE EXPLANATION WE HAVE BEEN WAITING FOR!! 🙌🏼
...also... I hope it's okay... but now I'm going to drop a video next week titled: "The Only DATA ANALYTICS Explanation You Need" 🤣jk
Haha more than ok Luke!
Hey Ken and Luke any video 📹on Data Engineering with simpler explanations would be just icing on the cake 🎂❄ as well.
Happy new year 🎉✨to you guys!
@@janakchetri7731 Looks like one just dropped today from Seattle Data Guy!! 🙌🏼
@@LukeBarousse oh yeah saw just now what a timing 👌 awesome year it's gonna be I believe.
I think even you dropped of your Analytics map for 2k22 right..?
I think I should soon make a biggie article on all the data roles basis on you guys videos 📹😄
@@janakchetri7731 yeah you should!! 🙌🏼
Hi Ken, in 4:15 of your video, you mentioned Geography. I have basic to intermediate experience in GIS (spatial) data and geostatistics and working on improving my data wrangling, programming and ML skills in order to land a role as a geospatial data analyst/scientist.
Thanks for this short and insightful video, I was watching your content since 2020 when started my journey in learning data analytics.
Awesome! Thanks for watching for so long Mukhtar!
Love the explanation of what DS is currently. It feels to me like the most interesting work is where the limits of our understanding math and the limits of computing power meet, forcing innovations.
Great vid as always!
So true Aaron!
Great video as usual Ken, super well explained! happy new year 😊
Thanks Vivian! Happy new year to you too!
great stuff! I am in the process of hopefully moving into the Data Science world for my career and your videos are huge helps in my research to learn and understand in order to make the correct decisions for myself and career. Keep them coming.
Really happy to hear the videos have been helpful! More to come!
Monday's are always much better with a Ken Jee video!
Perfect way to start the week and great video Ken!
Thanks Mario!
Awesome! I love its simplicity. Well done, Ken!
Thanks for watchin!
Informative as usual! Really nicely explained Ken. Now I will just send this video if someone asked me to explain about Data Science
Thanks Anubhav!
Thanks for this straightforward and in-depth explanation! I'm a beginner in DS, and I'm looking forward to applying it in my practice as a biomedical scientist, especially with a focus on infectious diseases.
Thanks for watching! Definitely check out the data professor's channel. He works in bioinformatics!
Would LOVE to hear the application of deep learning in DS. Right now I only hear about deep learning when it comes to voice recognition / natural language processing type of things
I'll work on it!
Hats-off to you Mr Ken. Such an informative video 👌👌
Wow, this video is brilliant. My only problem is that the title looks like a clickbait when it actually delivers what it promises haha.
So much chatter around data science these days but very few voices really know the field and of those even fewer have the clarity and generosity to share it in approachable/useful videos like this. Congratulations for the quality of your work and a big thank you.
Thanks for watching!!
Great message Ken! Clear and concise!
Thanks for watching DataLyfe!!
This is an Amazing
Data science explained so well 💯
Really like the example used and how everything is simplified .
Thanks Shruti!
Ken this was informative, thank you. Also, I love to see the other video about regression, classification etc.
Thanks Jeamelee!
ken. You are awesome totally! Thank you very much
Thank you for watching!
@11:50 "there's just shades of certainty and uncertainty." i don't think i've heard that before and i'm definitely going to be using that!
Awesome!
Great review. I forgot a lot of these topics since it's been a while since I've been introduced to these concepts.
Thanks for watching James!
Great vidéo man!
Clear and i think it's a good definition :)
Thanks!
Thank you 🙏🏽 so helpful!
Thanks for watching Madeleine!
Very Well Explained, thanks Ken
Thanks for watching!
You give us a clear introduction for data scientist, thanks.
Thanks for watching Gavin!
what an elite explanation! helped alot
Really glad you found it useful!
Amazing video, very informative and well structured as always
Thanks for watching!
@@KenJee_ds thank YOU for the video
Yes please! Explain all those topics. I’m a new to this.
💪
Hi! Love your videos, embarking on studies this year. Are the shelved books at 1:34 on your Amazon list or could you provide a list? Suffering from some shelf envy and keen to know more 🤔
I just released a video 5 books I wish I read earlier in my career, I think that could help! Working on a readable too :)
Very clear thx
Thanks for watching!
Oooo a lot of editing in this video 👀 you're really making your editor work hard 😂😂, anyway great video really informative, ty for the content once again.
Papaya bomb at 6:31
Putting Tony to work!
Hi Ken, as always, your videos are insightful and easy to follow. Would you say that one of the main distinctions between a data analyst and a data scientist is that the analyst focuses on what happened? While the scientist is looking for future possible outcomes? Thanks so much again for your hard work in helping us!
I think that is a pretty elegant way to put it!
Great explanation!
Thanks for watching Roshini!
Thanks for this video, man. So useful. I'll meet you when I'm a Senior Lead Data Scientist at the Company I work for
Looking forward to it Christian!
Just sent this to my brother and parents. Thanks ken :D
Haha, hopefully it helps Hugo!
Great video Ken. You got any tips on how to get on the path of learning data science?
I have a few playlists that should be able to help with that!
Hi Ken! Great video. Can you also explain the role and responsibilites of a full stack data scientist too in one of your videos please ?
I will try!
Really helpful even to data science aspirants. 😇🙏
Thanks for watching!
Man your voice is so so good...I mean full of confidence and energetic...I really love your voice and your valuable tips too 💯🤩
I appreciate it!
great video!
Thanks for watching Vinh!
overfitting underfitting and bias invariance tradeoff please
💪
This video will be definitely useful 💯 for some of my friends or data science aspirants but I think it requires little base to understand some terms as some are completely unaware about it🙃
💪
Super
Thanks for watching!
Inspirational
Thanks for watching!
7:57 yes, want a video like this on deep learning. + Do you need a pretty powerful PC for deep learning?
Will do!
Hey Ken! I am a final year computer science student, I have started following Data science just 2-3 months back and I am intending to do a final year project on the same. The issue is that I have to learn data science from the basics, by myself, from the internet. I have only 3 and half months. Can you recommend any good course of Machine Learning with Data Science? Pretty much stressed I am!
If you want a free resource that gets right to the point, kaggle has great micro-courses. If you want a paid resource, I have a discount code to 365 data science in the description!
@@KenJee_ds Thankyou sir!!
I think it's interesting that you differntiate Data Science from Statistics. I guess it's a matter of semantics but I've never heard someone else say that
Interesting!
love you bro
Thanks!
Hi there. I hope you are having a good day. I just wanted to ask if it is a good option for me to switch my career from finance to data science?
P.S: I like to do Math and statistics but not that much interested in accounting/finance.
I would do a few projects on kaggle.com and see if you really enjoy that more. If so, it could be worth it!
Great video. I have a question. How possible is it for someone who is in their 40s and never did anything with programming to start this new career? Is it only a young person choice? Thank you.
Yes, it is possible! On my podcast I have an interview with a lawyer who transitioned in in his 40's
Great! Now I can just shove this video in my parents' face next time they ask me what I plan on doing later on in life LMAO
Lol, exactly what i've been doing now
2:56 theres a typo and my dyslexic brain told me to read it as 'orgasming' data dont ask how, great video btw
Oops! Thanks for catching it. Nothing I can do now lol
great video I will kindly request to make a video of deep learning
Will do!
Would love to see video on Deep Learning
+ I believe it would be a good follow up video for the new people in Data science who're watching this video 👀
💪
i want to know what are the tools they use means did they work in jupyter notebooks or google collab in which software do they do the whole process pls reply
It really depends on the role. What IDE people use is mostly personal preference
@@KenJee_dsoh got it thanks 😊
Allow me to comment on how much I admire your relationship with your parents ❤🌻 ! I hope to see them reacting to one of your videos sometime Haha.
Awesome video Ken ! When my family asks what I do I'll just send them this lol .. They probably won't ask tho :3
Thanks Ibraheem!
What are the requirements on getting a degree on data science
It really depends on where you're getting it from. Most schools have varying requirements, but basic math (statistics, calc, linear algebra, finite math), and programming are usually relevant
Both ad campaign are good 🙌😂 like In 1st case ppl will impacted by doctors advice and in 2nd case 25% off🙃
hahaha
This is the real truth.
Thanks Rajat!
Papaya Easter eggs inside another great, informative video = pure genius
Fantastic job as always.
Thanks James!!
Just because you do not take an interest in politics doesn't mean politics won't take an interest in you.
I think same is happening these days,
Just because you do not take an interest in data science doesn't mean Data Science won't take an interest in you.
True!
I am just here for the Z shirt.
lol
ORAGANIZING? I have so many questions.
😅 The extra A is supposed to symbolize how A-mazing it is!
6:32 or if it was smashed or not
💪
Ken, are you wearing a smart ring?
Yep!
Are data science and pizza related?
They are if you want them to be haha
Your sweet parents 😹
Yes they are!
Honestly i did not understand what a data scientist actually does
Hats-off to you Mr Ken. Such an informative video 👌👌
Thanks for watching!