This video took me an *exponential* amount of time to edit, which is beyond my *limit* (bad math puns 😅). Please show it some love and let me know your thoughts/ questions/ struggles below! 🙌🏽
@@amanthinks374 Hey, the app I use is Notion 🙂. And the OneNote notebook is not mine so I'm afraid I can't share it with you. Stavros created it and the MIT course is a paid program so I don't think it's possible to share it freely.
Thank you so much for the video. I have just started in DS and this came at the right time. I would like to know if you could make a video on the industry or application based side of data science as my focus too is on that end.
@@Thuvu5 @Os Med Surry for not being able to share the Notebook with you, unfortunately its proprietary paid learning material that we are not allowed to distribute. Thank you for your interest and attention to detail :) Best regards. Stavros
Really ? I was very bad at maths but now I want to learn it more in the order to become à data analyst. I had a very bad marks to my exams but I will try hard
@@cutiegirl3400 Don't let your previous performance define you. Those were different circumstances, settings and you were even a different person. Just focus on learning to be a better data professional and have fun with it.
I used to be keen on and really good at math at my high school. Unfortunately, I wasnt taught math, economics, or tech..., bc I studied at Journalism and communication university. So am I able to transfer to Data industry?
I just discovered your excellent videos and I binge-watched them last night. I love the way you explain things. I was thrilled that you recommended my "Data Science Math Skills" course - it's my best effort to leave out all the hard stuff beginners don't need to get started.
Omg are you Daniel Egger? It’s such a pleasure to have you checking out my videos! 🤩. It’s a great course for beginners, I loved how digestible and effective it is! Thank you so much for creating the course! And also, thank you for your kind words on my channel 😃🙌
This is one of the best clear cut video, people who scare about the internal math of ml model can get confidence to learn after watching this video. Thanks much sharing madam, please do post more !!!!
Hello! So this is my second watch on your channel and I must say you make really good content. Data Science is too much for me so I learn mainly for Data Analysis. I want to learn Mathematics for Data Analysis. Nowadays most of my learning constitute Statistical Analysis and some probability related parts. I am learning it in R from a book. I started to get interest in the beginning but after coming across different testing methods like ANOVA etc. it started feeling boring 😅 personally I was weak in mathematics during my school time and sometimes it feels like I am taking a wrong way by going towards analytics haha...like at some point of my career journey mathematical nightmares will haunt me lol
Hi Vivek, thank you so much! I can relate to the feeling of getting bored when learning too many statistical testing methods (that I'd probably never use)! I'd say it's okay to rotate among a few different topics and come back to this topic later, maybe you'll then feel more excited to learn it 🤓
I agree that there are many things we studied at college may not be useful in real world settings. But as a student, it is a good training process by taking hard core subjects to build up a sophisticated brain 🧠😁
I have a master's degree in mathematics and I have just realized that in order to end up in the data world I need to learn SQL and python. Everyone who is in the data field tells me there's no mathematics in the data world. it is all data wrangling and sorting column table after table. This sounds really depressing to be honest.
Hi Archana, thanks for watching! it’s unfortunately not possible because it’s proprietary content from the MIT program, please see Stavros’ reply in the pinned comment. But I’m hoping to invite him to a new video to explain his process to create such notebook 🙌
Hi I was wondering how much do you use math (not stats) in your job as a data scientist? I want to have a career that involved a lot of math. It is very discouraging when I hear about some data scientists that don’t use much math and mostly do programming and stats in their job
The "Math for Data Science" guide, we all need!!! 🔥🙌🏼🔥 Thu, the level of work and detail you put into this video is insane. 🤯 More vids like this, plz! 👏🏼
Thank you Luke 🙌🏽, yeah this video took me too long to make haha. I was agonizing over many details in the video along the way as well. Really happy you liked it! 🤩
Youre not wrong. Theoretical Math, Physics, Chemistry and Engineering are wayy harder than programming because youre discovering/inventing the science wile trying to solve daily tech problems. Programmer dont understand this.
Hey Chanin! Thanks for stopping by! 🤩 I’m using Final Cut Pro. And what are you using atm? Thanks for your kind words on the video, I really appreciate it! And yeah, filming B-roll is actually more fun to me than filming A-roll, so I just like to do more of it 🙈
@@Thuvu5 Thanks for the info. I’m currently using Premiere Pro, though I am also playing around with Final Cut Pro. It’s always fun to learn what fellow creators are using for content creation. :)
Ah I see! I’ve never used Pr before. But I guess the 2 software are very similar as to what they can do. Yeah absolutely, i also love poking around to know what people use for their videos, and researching gear 😂
I don't know a thing about DS. But I know Math and how to study it, and in fact I worked many years in Financial Math and taught it for ten years at the Universidad de Buenos Aires. So, a tip: if you try to study Math as in this video, with the book in front of you and a little notepad at the left, -being you're righthhanded-you'll hate Math for life. Try then to do it reverse: a big notepad in front of you, the pen in your hand, the book on the screen. A virtual one, of course. Then, learn one math idea, eigenvectors for instance, and start to work in your notebook over it. And write Math. 90% time writing, thinking, explaining; and just about 10% time reading. And you'll succeed. Otherwise, I completely share your pov about learning. Greetings.
Great tips! Especially about your points around a note taking system and coding the math. When I started my journey, it took me a few months to realize my note taking system was horrid that I wasn’t retaining and needed a better note taking system. I also moved to electronic vs hand written. Coding the algorithm from scratch in python was also key. Patience was so key, many times I wanted to jump to the end result w/o understanding the algorithm itself.
Hey there, thanks so much for sharing your experience!! 🙌 indeed patience is key when learning how things actually work. It’s frustrating sometimes, but I feel like the process is also rewarding in itself..
I found discrete mathematics, which I *did not* learn in university, irreplaceably useful for my CS courses. (Udemy, Amoure.) I did actually complete "Mathematics for Machine Learning". Great style of teaching! Wouldn't be able to do it on my own.
Thanks a lot for putting together this guide! It gave me a good overview of what I might need to dive into if I decide to tackle the new course by Andrew Ng. Highly appreciate your effort! 🙏
I believe you had skipped couple of mathematical concepts like Manhattan Distance, SVD, etc ... Math is much needed for Machine Learning if not for "Applied Machine Learning". Coursera course Algebra for Engineers from Hong Kong University (the same is available on UA-cam) helped me to basic mathematics...
Calculus and linear albegra are the EASIEST of maths. Your audience have robablh never heard of Topology, Abstract Algebra and Linear Geometry... 100000×× harder than Calculus.
ICL prof cert in A.I & M.L was a complete waste of money. I spent £4000 and thankfully got it refunded halfway through. Thanks for the vids really enjoying your content
So basically all the mathematics topics that I hated in high school are now being used for AI which will eventually run the world ! I guess its time for me to start catchingup just to make sure I understand this changing world around me.
You go girl! I love your channel. Thank you SO much for making it. Its great to see other smart women. Again thank you and do your thing! Keep the videos coming 🙂
Fabulous. I especially liked the animations of linear algebra things that flew by. I also liked your brief discussion of imposter syndrome ("don't act on it") vs enthusiasm ("take action on it"). Finally, I appreciated you saying that you're not smart enough to do research... for me, realizing that I am really not as smart as I thought or imagined myself to be has been helpful in "getting real", without falling down the pit of imposter syndrome.
Hey John, thanks so much for sharing your thoughts! Indeed, I feel like we should appreciate our other strengths as well and there’s no need to feel imposter 🙌
Well it really depends on what you want to do with data science. If are in research then you probably need more maths than coding skills. There is crazy tensor algebra if you want to modify the reverse AD without using torch.autograd.
I was absolutely horrendous in Maths. I had took Maths literacy in high school. I don't do that well Maths literacy. I would like to know if I can still study to be a data analyst or should I study something else.
Hi Thu Vu! Just started watching your videos and found peace on them, I just graduated six months ago from a BsC on Financial Engineering, focused on Data Science and found my passion on ML. It is overwhelming wanting to know everything sometimes, but now I am taking one step at a time. I started working on a fintech startup but being the only DS Engineer over there is making the journey lonely. Even if I am expanding my portfolio and doing a lot of interesting courses I want to know if you (or anybody) have any recommendations on communities or "social networks" for expanding my DS network and getting interaction, rather than just following big names on LinkedIn, as of now I consider myself a student. Greetings from México!
Hey Fernando, I can relate to the lonely feeling you're experiencing. think there are a lot of communities out there. I used to join local Data science Meetups in Amsterdam to meet and talk to people. Online there are also a lot of Discord communities (for example Tina Huang has one of her own). Greetings from the Netherlands! 👋
When I encounter new topics I don't note them 😢, that's why after a few days I forget those topics. Thanks Thu Vu for marking the point , this video was great.
@@FaruqAtilola I am a EE grad who left engineering and quantitative work many years ago. I go back to school to do a masters in DS and I feel right at home with the math. DS students often ask, how much math do you need to know for DS? My response is, you need to know just a little more than your competition, but your competition will often be engineers.
Awesome Video Thu Vu! Thanks for the tips! I think that a good resource for statistics learning with python is the book Practical Statistics for Data Scientists by Peter Bruce, it presents the essential knowledge with applications in python and R as well.
Thank you for the book recommendation, Joao!! Oh it seems like a very good book, it actually popped up sometimes on my Amazon page and I didn't pay attention. Awesome! I'll check it out! 👋
Muchas gracias por tus videos, son geniales!! Soy tu fan😄...I love Data Science . 🙋♀️Can you make pls 1 proyect with Data of NU (Naciones Unidas)Podrías por favor hacer 1 proyecto con datos de Naciones Unidas??? Plsss🙏 👩💻🥺
Thanks for watching and being a fan, Muchas! 👋 I will think about making such content, but I'm not sure. Is there any specific topics or kinds of projects with UN data you have in mind?
@@Thuvu5 I make investigation with questions, example: ciberbullying in the school; but, I want made investigation with data science - data and microdatos social problems- (I been use payton, I like it). I don't understand the structure or the points for make 1 proyect the data science with -data or microdatos- . Thanks you. Sorry for my english.
@@Thuvu5 and the courses are boring 😒... your videos are great, they motivate me to continue learning and looking for books and other videos. thank you.
I’m afraid I need permission from Stavros to share it. Also it’s a paid course so in a sense, it’s not advisable to share it freely on the internet. But I hope Stavros will update us soon about this in the pinned comment 🙂
Awesome video!! Thank you for the helpful tips!! Much appreciated. @Stavros Vogiatzis, would love to see your One Note template as I create my own either in GoodNotes or One Note as well.
Sry Thu, you sound like a alien to me when it comes to Math, I'm don't like math much. Stats is the only thing I know and understand, any ways I loved visualisation....
Oh oops.. I'm sorry, Arun! haha. I just thought there was no way to avoid learning Math for DS, so I'd better make a video on it 😉. Hope I'll sound less like an alien next time 🙌🏽
Thank you for poping into my feed and give me an anxiety strike… but seriously, great video, I do recommend the MIT open course, they have a great selection of courseworks
Awesome video Thu Vu! Your comments on the end of the vídeo about the impostor feeling and about the understanding vs explanation is just perfect! Ty for the amazing content.
Glad you enjoyed it! 🙌🏽 Yeah, the impostor feeling is so universal and hard to befriend. Glad you found it useful what I talked about 😇. Thank you for tuning in!
The timing on this. I've just picked up a book on linear algebra and Calc and have been grinding at it. I love your car analogy, tho I'd like to expand on that. Hobbyist aside, it can be useful to have a further understanding on how stuff works because say, if your car breaks down in the middle of the road, knowing how some parts works can help you diagnose and sometimes even fix the issue you run into yourself. Ofc this isn't necessary to drive a car, but it's a parallel progression imo, if you know more, you have an edge over people who don't 😎
Absolutely agreed Sethi! Especially if you drive the car in the middle of desert 😂. It’s indeed always good to know how to diagnose the issues and potentially fix them or know where to get help 🙌
All the people that currently is teaching, (making videos or producing material), know about how hard is to produce it, so thank you. I encourage you to continue doing it, best. Jo
This video took me an *exponential* amount of time to edit, which is beyond my *limit* (bad math puns 😅). Please show it some love and let me know your thoughts/ questions/ struggles below! 🙌🏽
Can you please provide a link to the platform you use to take notes? And share the one note notebook with notes from the MIT courses? Thanks!
@@amanthinks374 Hey, the app I use is Notion 🙂. And the OneNote notebook is not mine so I'm afraid I can't share it with you. Stavros created it and the MIT course is a paid program so I don't think it's possible to share it freely.
Thank you so much for the video. I have just started in DS and this came at the right time. I would like to know if you could make a video on the industry or application based side of data science as my focus too is on that end.
Can you just come teach me 😭 haha
@@Thuvu5 @Os Med Surry for not being able to share the Notebook with you, unfortunately its proprietary paid learning material that we are not allowed to distribute. Thank you for your interest and attention to detail :) Best regards. Stavros
Maths is scary but when you learn maths with Data Science perspective, it actually starts making sense and you find it interesting!
Really ? I was very bad at maths but now I want to learn it more in the order to become à data analyst.
I had a very bad marks to my exams but I will try hard
@@cutiegirl3400 all the best 👍💯
@@wthxrsh thank you very much ! Do you have any advice on how to improve?
@@cutiegirl3400 Don't let your previous performance define you. Those were different circumstances, settings and you were even a different person. Just focus on learning to be a better data professional and have fun with it.
I used to be keen on and really good at math at my high school. Unfortunately, I wasnt taught math, economics, or tech..., bc I studied at Journalism and communication university. So am I able to transfer to Data industry?
I just discovered your excellent videos and I binge-watched them last night. I love the way you explain things. I was thrilled that you recommended my "Data Science Math Skills" course - it's my best effort to leave out all the hard stuff beginners don't need to get started.
Omg are you Daniel Egger? It’s such a pleasure to have you checking out my videos! 🤩. It’s a great course for beginners, I loved how digestible and effective it is! Thank you so much for creating the course! And also, thank you for your kind words on my channel 😃🙌
Your videos are truly amazing the editing, quality
You even told us about the topics which we are supposed to dig deep into along with the tips
Aw thanks for this Anurag! I really appreciate it! 👋
This is one of the best clear cut video, people who scare about the internal math of ml model can get confidence to learn after watching this video. Thanks much sharing madam, please do post more !!!!
Thanks for your videos. You do a great job.
Thank you so much for your support Jeff! 🙌🙏
Hello!
So this is my second watch on your channel and I must say you make really good content.
Data Science is too much for me so I learn mainly for Data Analysis. I want to learn Mathematics for Data Analysis. Nowadays most of my learning constitute Statistical Analysis and some probability related parts. I am learning it in R from a book. I started to get interest in the beginning but after coming across different testing methods like ANOVA etc. it started feeling boring 😅
personally I was weak in mathematics during my school time and sometimes it feels like I am taking a wrong way by going towards analytics haha...like at some point of my career journey mathematical nightmares will haunt me lol
Hi Vivek, thank you so much! I can relate to the feeling of getting bored when learning too many statistical testing methods (that I'd probably never use)! I'd say it's okay to rotate among a few different topics and come back to this topic later, maybe you'll then feel more excited to learn it 🤓
Recently found your channel - GREAT STUFF. Thanks foe sharing your knowledge
I agree that there are many things we studied at college may not be useful in real world settings. But as a student, it is a good training process by taking hard core subjects to build up a sophisticated brain 🧠😁
Totally agreed! 🙌
I have a master's degree in mathematics and I have just realized that in order to end up in the data world I need to learn SQL and python. Everyone who is in the data field tells me there's no mathematics in the data world. it is all data wrangling and sorting column table after table. This sounds really depressing to be honest.
Love your video,em. :) Thanks for sharing your opinion
Completely fell in love with your videos :) Cheers from Pakistan.
Aw thank you so much for this! 😇 So glad you liked them!!
The person coming and hitting you with a pillow was hilarious.
I have 5 years of experience in mechanical for can I go for Master in data science
Great post, Thank you!
Thanks for the tips
Hi Vu, are you currently working as a data scientist or data analyst ? and what is your current company ?
can u share MIT data science notes with us?
Hi chị, great contents
Hey! Thanks for the video. Wanted to check if you could share the link to notion notes that was shared by one of your subscribers. Thanks
Hi Archana, thanks for watching! it’s unfortunately not possible because it’s proprietary content from the MIT program, please see Stavros’ reply in the pinned comment. But I’m hoping to invite him to a new video to explain his process to create such notebook 🙌
Hello Mam. Can you please suggest one book ALL IN ONE for data science and machine learning? Please
MATHS IS BEAUTIFUL 😍 ALWAYS
Yesss 🙌
Hi I was wondering how much do you use math (not stats) in your job as a data scientist? I want to have a career that involved a lot of math. It is very discouraging when I hear about some data scientists that don’t use much math and mostly do programming and stats in their job
Can we get the a link to the note.
Hai what about qualification and age limit for data analyst or data scientist
I have MA Economics am I eligible for data analyst.
chuyên nghiệp quá bạn ơi, 🥰nhận ra người quen luôn
Thank you Binh 🤗
❤👍👍
Data sciencetist use maths? I thought math is ml engineer's stuff.
Yes they do 😉
The "Math for Data Science" guide, we all need!!! 🔥🙌🏼🔥
Thu, the level of work and detail you put into this video is insane. 🤯 More vids like this, plz! 👏🏼
Louder Luke!!!
Thank you Luke 🙌🏽, yeah this video took me too long to make haha. I was agonizing over many details in the video along the way as well. Really happy you liked it! 🤩
Can you please share the one note notebook with the MIT notes?
That what I hope 🙏
Yes please
Youre not wrong. Theoretical Math, Physics, Chemistry and Engineering are wayy harder than programming because youre discovering/inventing the science wile trying to solve daily tech problems. Programmer dont understand this.
Thu Vu, the editing is next level and the there's so much B-roll, really cool. Just wondering, are you using Premiere Pro or Final Cut Pro?
Hey Chanin! Thanks for stopping by! 🤩 I’m using Final Cut Pro. And what are you using atm? Thanks for your kind words on the video, I really appreciate it! And yeah, filming B-roll is actually more fun to me than filming A-roll, so I just like to do more of it 🙈
@@Thuvu5 Thanks for the info. I’m currently using Premiere Pro, though I am also playing around with Final Cut Pro. It’s always fun to learn what fellow creators are using for content creation. :)
Ah I see! I’ve never used Pr before. But I guess the 2 software are very similar as to what they can do. Yeah absolutely, i also love poking around to know what people use for their videos, and researching gear 😂
Here's a great source for statistics and econometrics with Python: www.kevinsheppard.com/files/teaching/python/notes/python_introduction_2021.pdf
Awesome! Thanks for sharing, Luis! 👍
I don't know a thing about DS. But I know Math and how to study it, and in fact I worked many years in Financial Math and taught it for ten years at the Universidad de Buenos Aires. So, a tip: if you try to study Math as in this video, with the book in front of you and a little notepad at the left, -being you're righthhanded-you'll hate Math for life. Try then to do it reverse: a big notepad in front of you, the pen in your hand, the book on the screen. A virtual one, of course. Then, learn one math idea, eigenvectors for instance, and start to work in your notebook over it. And write Math. 90% time writing, thinking, explaining; and just about 10% time reading. And you'll succeed. Otherwise, I completely share your pov about learning. Greetings.
My biggest issue is retaining what I learned, can anyone suggest apps or platforms that help you record what you learned?
Great tips! Especially about your points around a note taking system and coding the math. When I started my journey, it took me a few months to realize my note taking system was horrid that I wasn’t retaining and needed a better note taking system. I also moved to electronic vs hand written. Coding the algorithm from scratch in python was also key. Patience was so key, many times I wanted to jump to the end result w/o understanding the algorithm itself.
Hey there, thanks so much for sharing your experience!! 🙌 indeed patience is key when learning how things actually work. It’s frustrating sometimes, but I feel like the process is also rewarding in itself..
for calculus and linear algebra, they are more important in machine learning especially deep leaning
Thanks for this amazing video. 🇮🇳
I found discrete mathematics, which I *did not* learn in university, irreplaceably useful for my CS courses. (Udemy, Amoure.)
I did actually complete "Mathematics for Machine Learning". Great style of teaching! Wouldn't be able to do it on my own.
Thanks so much for sharing this Andrew!
Thanks a lot for putting together this guide! It gave me a good overview of what I might need to dive into if I decide to tackle the new course by Andrew Ng. Highly appreciate your effort! 🙏
I believe you had skipped couple of mathematical concepts like Manhattan Distance, SVD, etc ... Math is much needed for Machine Learning if not for "Applied Machine Learning". Coursera course Algebra for Engineers from Hong Kong University (the same is available on UA-cam) helped me to basic mathematics...
Thanks a lot for the video! Is mit applied data science notebook available to check out?
Love the video and effort you put into it 👏
Hey Sundas 👋! Thank you so much for tuning in! So glad you enjoyed it - and heck yeah, this one took me way too much time to make 🤦🏻♀️
Great job verbalizing the learning process! This video took thoughts out of my brain 🧠 in a really structured way. 🙌💯
Aw thank you so much!! Great to know that I could read your brain 😉😉. Thanks for watching! 🙌🏽
Calculus and linear albegra are the EASIEST of maths. Your audience have robablh never heard of Topology, Abstract Algebra and Linear Geometry... 100000×× harder than Calculus.
Wait, you said you were majoring in CS and Eco. These subjects obviously have Maths as a subject, rt?
ICL prof cert in A.I & M.L was a complete waste of money. I spent £4000 and thankfully got it refunded halfway through. Thanks for the vids really enjoying your content
Hey there!
Can I get that MIT applied data science notebook, which you talked about in this video?
thanks so much. Really good tips for learning
Informative, professional and entertaining, especially sadistics, had me rolling lmao
It is an amazing channel. Every data scientist should start from here. Keep your tremendous effort for the very important topic.
That's so kind of you! Thank you 🤩
Thanks for the great explanation!
I found that very helpful and insightful!
Keep up the great work!
And, Good day!
dive into deep learning is a great book for concept+code + math's behind the concept and it's free
Thanks a lot for sharing, Arun!!
Great animation and content and delivery, gr8 channel , thanks🙌
So basically all the mathematics topics that I hated in high school are now being used for AI which will eventually run the world !
I guess its time for me to start catchingup just to make sure I understand this changing world around me.
03:51 made me laugh so hard. Thanks for the video. Also , can (and how do) we get access to yours and Stavros's Notion pages?
Your content is great
I don’t know why I hadn’t subscribed yet
+1 ❤
I learned maths for data science but now may leave data science for maths.
Maths is so much fun and powerful.
That’s an interesting switch! Great to hear you found your ‘true love’ 🙌😁
Brilliant summary! This is the first time I've come across your channel and I have subscribed now!
That’s awesome!! 🤩 welcome to the club! 🙌
You go girl! I love your channel. Thank you SO much for making it. Its great to see other smart women. Again thank you and do your thing! Keep the videos coming 🙂
You are so welcome! Thank you for these kind words, it really means a lot! 🙌🏽
9:11 - How to make such nice one note docs...any links please
Fabulous. I especially liked the animations of linear algebra things that flew by.
I also liked your brief discussion of imposter syndrome ("don't act on it") vs enthusiasm ("take action on it").
Finally, I appreciated you saying that you're not smart enough to do research... for me, realizing that I am really not as smart as I thought or imagined myself to be has been helpful in "getting real", without falling down the pit of imposter syndrome.
Hey John, thanks so much for sharing your thoughts! Indeed, I feel like we should appreciate our other strengths as well and there’s no need to feel imposter 🙌
you've got a nice relaxing accent
Thanks for this 😁 I always thought the opposite 🤯
Well it really depends on what you want to do with data science. If are in research then you probably need more maths than coding skills. There is crazy tensor algebra if you want to modify the reverse AD without using torch.autograd.
Great video Thu Vu, Thanks so much for the tips especially for beginner like me who is just getting into DS field.
You're very welcome! Glad it helped! Thank you for watching :)
I was absolutely horrendous in Maths. I had took Maths literacy in high school. I don't do that well Maths literacy. I would like to know if I can still study to be a data analyst or should I study something else.
I think you still can 💪
Hi Thu Vu! Just started watching your videos and found peace on them, I just graduated six months ago from a BsC on Financial Engineering, focused on Data Science and found my passion on ML. It is overwhelming wanting to know everything sometimes, but now I am taking one step at a time. I started working on a fintech startup but being the only DS Engineer over there is making the journey lonely. Even if I am expanding my portfolio and doing a lot of interesting courses I want to know if you (or anybody) have any recommendations on communities or "social networks" for expanding my DS network and getting interaction, rather than just following big names on LinkedIn, as of now I consider myself a student. Greetings from México!
Hey Fernando, I can relate to the lonely feeling you're experiencing. think there are a lot of communities out there. I used to join local Data science Meetups in Amsterdam to meet and talk to people. Online there are also a lot of Discord communities (for example Tina Huang has one of her own). Greetings from the Netherlands! 👋
When I encounter new topics I don't note them 😢, that's why after a few days I forget those topics.
Thanks Thu Vu for marking the point , this video was great.
Haha I can totally relate to that, Swapnil! I forget to do it all the time 🙈, always learn the hard way. Thank you for watching!! 👋
This is why engineers and physics majors are the best poised for DS. They been dealing with heavy math all their life.
Haha absolutely!! Unfair advantage 😉
You can say that again Chac 😁✨...all our life!
@@FaruqAtilola I am a EE grad who left engineering and quantitative work many years ago. I go back to school to do a masters in DS and I feel right at home with the math. DS students often ask, how much math do you need to know for DS? My response is, you need to know just a little more than your competition, but your competition will often be engineers.
Thanks!
Thank you so much for your support! ❤️🙌
Awesome Video Thu Vu! Thanks for the tips!
I think that a good resource for statistics learning with python is the book Practical Statistics for Data Scientists by Peter Bruce, it presents the essential knowledge with applications in python and R as well.
Thank you for the book recommendation, Joao!! Oh it seems like a very good book, it actually popped up sometimes on my Amazon page and I didn't pay attention. Awesome! I'll check it out! 👋
Muchas gracias por tus videos, son geniales!! Soy tu fan😄...I love Data Science . 🙋♀️Can you make pls 1 proyect with Data of NU (Naciones Unidas)Podrías por favor hacer 1 proyecto con datos de Naciones Unidas??? Plsss🙏 👩💻🥺
Thanks for watching and being a fan, Muchas! 👋 I will think about making such content, but I'm not sure. Is there any specific topics or kinds of projects with UN data you have in mind?
@@Thuvu5 I make investigation with questions, example: ciberbullying in the school; but, I want made investigation with data science - data and microdatos social problems- (I been use payton, I like it). I don't understand the structure or the points for make 1 proyect the data science with -data or microdatos- . Thanks you. Sorry for my english.
@@Thuvu5 and the courses are boring 😒... your videos are great, they motivate me to continue learning and looking for books and other videos. thank you.
Absolutely amazing. You have encouraged me to dive into data analytics. Thank you so much.
Love your video style, Do you edit all of your videos by yourself? If yes what software do you use?
Thank you! Yes I edit videos by myself (but currently looking for a video editor to help me with this). I use Final Cut Pro 😊
I have to say that I really enjoyed the amount of content you put in this video. Thank you.
Oh so glad, I really appreciate it!! Thank you for watching 🙌
It's not that hard. Once you start learning.
Another great video. Thanks Thu Vu. One question: could you reshare stavros vogiatzis’s notes? Thanks again!
I’m afraid I need permission from Stavros to share it. Also it’s a paid course so in a sense, it’s not advisable to share it freely on the internet. But I hope Stavros will update us soon about this in the pinned comment 🙂
@@Thuvu5 totally understand. Thanks again:)
awesome informative video
also need to know the geometry and trigonometry
Non of your links work, wtfffffffffff! ;-(
Awesome video!! Thank you for the helpful tips!! Much appreciated.
@Stavros Vogiatzis, would love to see your One Note template as I create my own either in GoodNotes or One Note as well.
A neat & helpful channel!
This is a great overview, thanks for making it!
Great to hear Anita 👋
Sry Thu, you sound like a alien to me when it comes to Math, I'm don't like math much. Stats is the only thing I know and understand, any ways I loved visualisation....
Oh oops.. I'm sorry, Arun! haha. I just thought there was no way to avoid learning Math for DS, so I'd better make a video on it 😉. Hope I'll sound less like an alien next time 🙌🏽
thank you very much
Another Great and Useful Video from the Great Thu, Thanks , Love your videos
Aw thanks so much for this!! 💛 Hope you're doing well.
Thank you for poping into my feed and give me an anxiety strike… but seriously, great video, I do recommend the MIT open course, they have a great selection of courseworks
Haha great to hear! Hope it didn’t make you too anxious 😂. And thanks for the recommendation! 🙌
The first video I watched on your channel Already Subscribed👍👍👍
Yaaaay!! Welcome to the club! 🙌
Awesome video Thu Vu! Your comments on the end of the vídeo about the impostor feeling and about the understanding vs explanation is just perfect! Ty for the amazing content.
Glad you enjoyed it! 🙌🏽 Yeah, the impostor feeling is so universal and hard to befriend. Glad you found it useful what I talked about 😇. Thank you for tuning in!
When I need to find some pattern in our data, I always remember what Einstein said, E = mc2 ! :P
Haha you totally got this!! 😉👋
woud you share that one note?
The timing on this. I've just picked up a book on linear algebra and Calc and have been grinding at it.
I love your car analogy, tho I'd like to expand on that. Hobbyist aside, it can be useful to have a further understanding on how stuff works because say, if your car breaks down in the middle of the road, knowing how some parts works can help you diagnose and sometimes even fix the issue you run into yourself. Ofc this isn't necessary to drive a car, but it's a parallel progression imo, if you know more, you have an edge over people who don't 😎
Absolutely agreed Sethi! Especially if you drive the car in the middle of desert 😂. It’s indeed always good to know how to diagnose the issues and potentially fix them or know where to get help 🙌
I concur! I just ordered linear algebra and calculus books for refreshers this summer
Dear Stavros Vogiatzis could you please share with me your fantastic notes of mit applied data science. I really appreciate it. 🙏🏼🙏🏼🙏🏼 thank you 9:11
This video help me a lot!!!
Chị Thu Vũ chính là người dẫn em vào con đường "nghiện ngập" học data science này.
All the people that currently is teaching, (making videos or producing material), know about how hard is to produce it, so thank you. I encourage you to continue doing it, best. Jo
Thank you Jo!! Indeed it’s not easy, I feel like I learn a ton myself from producing these contents. All the best! 🙌
Calculas is hardest when you enter integration part! rest are super easy, like Limits, Derivatives & It's chain rule and Partial derivatives!
You're looking more healthy, I'm happy for you. And great video btw!
Thank you so much! 😄 Yes, I've been feeling much better after that horrible flu 🙈. Thank you for watching!
Highly appreciate for your efforts Thu Vu.Could you please recommend any book to start for DS jouney for a beginner specially from scratch!!
Can I have that guy note
wait did I witness a time ramp between 0:14 to 0:17? from a student to a all grown woman
Haha it’s the same me at the same time 😂. Maybe I look younger in my pyjama’s and without doing my hair 🤯🙈