Just learning enough, moving on and iterating. That’s a great tip. When learning almost anything I tend to go deeper in one of the initial steps and feel stuck.
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
Sorry but the sound is really bad it hurts your watch time. The room you are in has a lot of reflection and the mic picks it up. Lower gain and speak closer to the mic
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
This is pretty much how I went through it as well in the last few years. I actually started web scraping before machine learning, as ML really benefits from good scrapers and database building.
Love the strategy and the “not getting too deep into one subject” advice. Definitely better to know a bit of everything than only one thing very well, especially for interviews!
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
Great video, great advice and great resources Tina! Also big thanks for the kind mention 😆I really like the learn just enough and get the ball rolling and take the dive. It's a great way to move forward without procrastinating (which I do a lot at times).
Thank you!! And of course, your videos are an amazing resource :) I actually rewatch your videos all the time myself! Hahah as @Limitless says, wow even data professor procrastinates?? 😛 I'm kidding - don't we all. Yup, projects + accountability have been the absolute best way that I've managed to get myself to get stuff done.
@@TinaHuang1 Thanks for the support! Yes, as @Limitless pointed out, procrastination and imposter syndrome are both quite prevalent in academia. Data science is such a big field, there’s always something new for me to learn. I like your proposed learning scheme, it’s actually what I do to learn a new Python library, you best put these into an intuitive step-by-step explanation. Thanks again for putting out this MEMO learning methodology!
Love this! I like your 4 step framework for iterating and learning data science, couldn't agree more with using projects to learn! Keep up the content!!
Thanks Luke! Totally - a breadth first approach coupled with projects and a very large dose of accountability is what I found to be THE best way. Haha and the only way tbh that I've managed to learn hard things myself. And will do!! Thanks so much for supporting me ❤
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
Big Fan of Jose and StatQuest! I've also been reviewing another course on Udemy titled: Complete Machine Learning with R studio - ML for 2021 by Start-Tech Acadamy. I've learned most of my python and R skills with Jose, but this last course took things to a much deeper level. I would start out with Jose though. Great Instructor. Easy to follow, build the foundation and then go from there. Great video. Thanks for sharing your resources used and your journey with us all.
What I've learned is to go with a start small approach like I describe in the video. The idea of becoming a great data scientist is super overwhelming because there's just so much to learn! Try to start small and apply the framework of learn the minimum, project, iterate, and lots of accountability. I think you'll set yourself up for success this time around :) You got this!!
That's mic look good i like it but i don't understand why your voice still have echo sound, are you sure your mic active? btw yu speak like a rapper tho' 😅
It's great to see people just like me😎. My first ml project was medical image area detection. And got my first paper publication. Yaay!! ❤️. Love your channel. Subscribed ❤️
Good video. The amount of content that one could learn before getting start in machine learning is absolutely endless. One class of algorithms might have a whole book. Data science needs to be project based learning!
Lmaooo yes the first thing I had to do was admit I had a problem 😂 so glad you enjoyed it!
3 года назад+1
Which projects can you suggest? Because most of the "projects" ive seen online are grabbing some code and changing a few variables and boom you have a perfect AI
LOL this is so true it’s not even funny 😆 so For beginners I do recommend doing projects that people have started and since projects are really never finished you can replicate that but take it some steps further. This builds confidence and teaches you the logic behind the analysis from someone hopefully more experienced than you. As you do more projects I highly recommend working on real world projects from consulting and open source because that’s a good way to eventually get a job :) I’m making a video about this now haha
I don't know if ur gonna reply to this or no (btw sorry for my confusing English) the only thing that scares me for shifting to be a Data Scientist is neither programming nor math, but the business domain/knowledge! Different company is also different on its business stuffs, and my knowledge and logic in business is very bad. In CRISP-DM, the first step is Business Understanding. I can't imagine what to do if they give me a fresh raw data, and tell me to do EDA or gain insights from it (i said "can't imagine", because i'm indeed not being a data scientist yet) please help me 😭😭 or do you have a video where u talked about this, about having a domain knowledge? thank youuu in advance ❤
hi daniel! fellow fan of tinas and stumbled across your message 😊 I’m also a data scientist and have a few videos on my channel on CRISP-DM (my company also uses this!) and importance of domain knowledge & stakeholder management skills! Hoping it may help you out?
I am trying to do as Tina suggests here: learned JUST ENOUGH and proceeded to my first ML project. It was linear regression. I stumbled upon how to make a prediction. Or, more precisely, not HOW (there are functions for that), but rather where is predicted value in the videos I watched. I watched some more videos on Linear Regression / predicting values, and there always were steps like: - loading and reading the data - inspecting and cleaning data - spliting dataset - building a model - training the model - visualisation - assessing R^2 and MSE coefficients But I never got to see the actual *predicted value*! Is linear regression considered more of advanced thing, and I better had started with classification model, for instance? Or what am I doing wrong? I'd appreciate an advice or constructive criticism!
I’m glad I came across your video. This is a good start to learn Data Science! I immediately subscribed this channel as soon as I finished watching it.
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life.. ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
GREAT VIDEO!!! Just one question, I am curious if you are reading a script or you are actually going with the flow? That is because you are doing it very well and I want to do it as well.
This video is soo good. The number 1(!) question I've had in moving into industry when I finish my PhD is "how much do I need to know about X" to get a job. When you said "variable declaration, loops and OOP" - I was hooked. Thanks so much for the vid, this was legit one of the most helpful vids I've found on this topic so far!
Hi Tina, thank you for providing these useful info for learning data science knowledge. I'm going to pursue a MSDS soon, and I'v learned python ML, MySql, and some Hadoop during my free time, beside working on some resume projects and keep practicing the skills, are there anything I can do to ensure myself getting an intern? Thank you very much!!!
Bruh this girl talks like Data Science is that ez For everyone to know, you need 1. Fucking Masters Degree 2. Be a Pro Database Engineer 3. Be a Pro Programmer like HARD LEETCODE questions 4. Be a Pro Statistics 5. Be a Pro Data Analyzer 6. Be a Pro Data Engineer Now its a roulette in the job interview and which one u get. Make sure u can predict Bitcoin price with a high accuracy!!!!!!!!!!!!!!!!!!!!!!
While studying Data Science, sometimes I feel like like mi sight grows dim because of all the topics I try to learn and understand. But videos like this make me understand that I am on the right path. Thank you su much for such enlightening content.
Hey Tina! I'm about to watch this video, after initially stumbling upon your video on the scoreboard. You're a really awesome person, and I really appreciate the effort you're putting into creating these videos. I haven't watched this current one yet, but it'd be great to hear what's changed over the year, if anything. I can already tell your editing and recording quality has improved a ton, and that's not a sleight. I'm excited to learn, thanks again!
You're so relatable and that makes it feel like it's not impossible for me to learn it! Your video is also super informative and well-constructed. Can't believe it's only 12 minutes.
Love this - really breaking it down and I love the saying, "Learn just enough" so many times I've started on the - I need to learn everything and then do
Is Project important in Learning Data Science Or Data Analyst ? As a Beginer How Many Project Should to do? in Excel ,SQL , Power Bi , Tblue , R basic and Python Basic ?
I've taken lots of paid courses (and completed them) on machine learning. What I could really beef up on is EDA and data visualization. Any course/book recommendations?
I would like some advice. I would like to move towards Data Science or Data Analytics. Is selfstudy enough to get a job in Data Science or Data Analytics? Or is it better to get an education for that? Selfstudy isn’t that hard for me to concentrate, but i feel like missing some knowledge in some areas. For Education, You go to school and you learn all different types and others, but a lot time is spent on useless subjects you never use. I almost finished with Software Developer education, What I learned was most for webdevelopment. html, css, js, Java, Python(Django) and sql. thank you in advance : )
uncommon philosophy. have you ever witnessed any 'super riffers'? People who have an intuitive knack for eliciting the desirable behaviors of "unlikely datasets" they want to remake into their own idea but.....quick. They would most likely have: a. their own 'home rig' of assembled machines or b. they're the only ones aware of a "no code" interface that hasn't been released to the general public yet. ('m half joking and half serious).
Thank you for mentioning the resources. It was definitely informative. I am a SWE thinking about transitioning to DS. I think it would be great if you can make video about the process of doing the actual project. I haven't researched much but I haven't seen something like that a lot. I am not talking about showing the implementation of model and how to choose different approaches but very hight level going through the overall process for someone like me who can learn pieces if they know what they actually are the necessary part for becoming a Data scientist.
Hmm I recently did a project video but it was more specific to the sentiment analysis I was doing. I think that would be an awesome video topic :) Thanks so much for the suggestion - it's high up on my future video list now so stay tuned!
The biggest obstacle I've faced after going through this is that I lack experience for Data Science and even Data Analyst roles (I'm a 2020 math grad for context). It seems like the only hope is to take a different role with the hope of moving to a data science role from within the same company.
What do you recommend for a completely beginner, I just graduated high school and want to start learning as soon as possible. I don’t own a computer yet but do you think a laptop will suffice? Or should I buy a pc? Please let me know I don’t know nothing 😭
Everytime I start to Learn ML i just get lost In DFS approach of learning and i get overwhelmed.I Hope In 2021 it won't be the same case.And The Credits goes to Tina....
I totally get it! I used to be like that too, which I think works in specific cases. Generally this works far better primarily because it helps combat the overwhelm/accountability aspect :) You got this!!
Great Video, I liked the framework thing, I had been stuck in my life for a while and I am thinking of implementing this, I am saying this here because i want to be accountable, I hope I will not disappoint whoever is reading this comment.
I am planning to do masters in data science , is it worth it ? Btw I love your videos and most important thing in this video was “learn just enough” and start working on a project.
nlp seems like a very interesting new interdiscipline. the wordl has changed forever by technology, and it is so amazing. we were born in the most exciting time of mankind. I'm so grateful for that and that feeling motivates me when my code sucks :D
The sources are really nicely articulated ma'am! And I do agree that getting some hands on experience with real life data analysis will definitely help provided one has gathered some basic learnings of both programming and Data Science. As far as my experience is concerned "Solving real world data science tasks with Python Pandas" by Keith Galli helped me a lot to get curious about the practices involved in DS. Fab content you have once again!
The content is really helpful, but it is very very very uncomfortable to hear the voice rapidly change. I dk what is the purpose to make this, it is just make me cannot focus on the content.
Hello. l don't have a college degree or university. Can l become a frontend developer? And Can l get a job after a completing a with course certificate?
Hi Tina. Good video. Which of the two paths do you recommend for python DS? (a.)Would it be better to subscribe to paid platforms like data quest or (b.)just take one extensive course as suggested (Py bootcamp - Jose.P). What was your approach?
Hi! I think it really depends a lot on your learning style and your goals. I don’t know much about dataquest but I would do my research very carefully on what these guided projects they talk about exactly are and how that translates to achieving your goal eg. learning, getting a job etc.
Interest is key to self-learning. And imo interest is what makes a career fun. Having to learn something just to have a job is horrible and I don't see how a person would be successful in a career if they weren't interested. Learning is an ongoing thing.
Cause when I don't know, I don't know what I don't know - that literally defines how it feels to try learning from random sources online. A course sounds like a good idea
I'm a graduate in IT and I plan on doing data science. I'm planning to pursue masters in computer science and learn data science through courses online...how does that sound?
Great video I will definitely use your method. I previously tried learning data science using Coursera and completed Andrew ng’s ML course, Deep Learning Specialization, uni of Michigan Applied Data Science with python but never did enough projects to actually land a job. Now 2 years later I will try again even though I’m sure I forgot a lot already . Thanks for motivating me!
nice video, new sub, this is actually a good way, i learn absolutely new stuff exactly the same way minus the accountability , can vouch on that this systems works the best
I've been a neuroscientist for quite some time, phd and post doc included... I'm thinking of formalizing and cementing my knowledge of data analysis in order to leave academia, where I've basically been learning bits and pieces of 'stuff' when it became necessary (like, a bit of python, a bit of r, a bit of ML concepts, and so on). I've just started the IBM certification after your other video! I've stumbled upon data science because of my job as a neuroscientist but I've now been thinking of changing careers, and your videos clarified a lot of fuzzy concepts I had going on in my mind.
Hello Tina, Is it recommend to code all the machine learning algorithms from scratch so that I can learn math behind it or just understand and start to code?
I wouldn’t do them all from scratch in the beginning. If you want to you can always do that once you’ve played around with them and used them. The primarily reason is that it may be very difficult and take very long, which is highly discouraging in the beginning. In my experience, learning things a bit and then iterating is far more effective in increasing the probability of actually getting it done :)
@@TinaHuang1 Oh my Tina is really spitting some truths... I usually dive as deep as possible with the topics I am learning and by my own experience I have realized learning ML algos from scratch at the beginning is the worst idea. I will follow your plan now :)
![NOSFERATU - Official Trailer [HD] - Only In Theaters December 25](http://i.ytimg.com/vi/nulvWqYUM8k/mqdefault.jpg)
![NOSFERATU - Official Trailer [HD] - Only In Theaters December 25](/img/tr.png)
Who's ready for learning data science in 2021!? ✋✋✋
Almost half way
me :)
Meeee 😭
Nice content Tina, keep it up yaa.
I
Just learning enough, moving on and iterating. That’s a great tip. When learning almost anything I tend to go deeper in one of the initial steps and feel stuck.
Yeah! I’m like that too and often just give up 😭 this way really changed how I learn things
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
Hello, not native english speaker, what exactly does she mean when she says iterate?
@@ironpolux iterate just means repeat. Iteration also implies that you improve a bit each time you repeat a learning process.
Me too, i always wanted to know more about the subject i learn and got stuck
Great stuff Tina! Love the new mic too. 🐱
Thank you Ken!! Yesss I've been struggling with my audio for so long haha. Fingers crossed that this is the end of my struggles 😊
Sorry but the sound is really bad it hurts your watch time. The room you are in has a lot of reflection and the mic picks it up. Lower gain and speak closer to the mic
@@colinmignot6309 agree. Some adjustments can definitely make the difference now.
@@TinaHuang1 great vid, but the audio sucks, you'd be better off just recording with your phone..
@@colinmignot6309 I think that there is nothing wrong with the mic, there is just a need for the audio equalization.
"I could power through it but I could be laying in bed watching cat videos."
This woman's in my soul family 😆 🙌
Lmao truth 😭
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
where is you pfp from?
I have been learning to be a DS for 1 year. In 2021 I will get my first job and I will be the best 😍
💪💪💪
How do you go about it..where did you learn yours..?
You Rock!!
When you said NumPee I was like "Oh no..."
Hahaha 😂 who knows these days
I've been so stressed about how to best learn data science without wasting time and this is SO helpful!!
Yayyy I’m so happy to hear that ❤️❤️
Hey so how did this work out for you?? lol did you stick with it lol
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
This is pretty much how I went through it as well in the last few years. I actually started web scraping before machine learning, as ML really benefits from good scrapers and database building.
Tina coming in with the MAJOR roadmap, keep it up :)
Thank youuuuu! ❤❤
Love the strategy and the “not getting too deep into one subject” advice. Definitely better to know a bit of everything than only one thing very well, especially for interviews!
is it possible to get a (fang) job by purely self teaching without a bachelor or master degree? how long from zero to 1?
This made my anxiety vanish. Thank you so much 🙏🏻
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
Yeah statquest,I love it too. I am a newbie to DS. I have loved your advice.
BAM! And thank you so much! I’m so happy to hear that 😊
Great video, great advice and great resources Tina! Also big thanks for the kind mention 😆I really like the learn just enough and get the ball rolling and take the dive. It's a great way to move forward without procrastinating (which I do a lot at times).
@Data Professor ohh come on dude you are professor you can't say that😂
Thank you!! And of course, your videos are an amazing resource :) I actually rewatch your videos all the time myself!
Hahah as @Limitless says, wow even data professor procrastinates?? 😛 I'm kidding - don't we all. Yup, projects + accountability have been the absolute best way that I've managed to get myself to get stuff done.
@@TinaHuang1 Thanks for the support! Yes, as @Limitless pointed out, procrastination and imposter syndrome are both quite prevalent in academia. Data science is such a big field, there’s always something new for me to learn. I like your proposed learning scheme, it’s actually what I do to learn a new Python library, you best put these into an intuitive step-by-step explanation. Thanks again for putting out this MEMO learning methodology!
@@DataProfessor yeah Sir i was just kidding your far superior 💝 and smart learner
@Data Professor True - academia is at the cutting edge! And MEMO I need to use that acronym more ❤
Love this! I like your 4 step framework for iterating and learning data science, couldn't agree more with using projects to learn! Keep up the content!!
Thanks Luke! Totally - a breadth first approach coupled with projects and a very large dose of accountability is what I found to be THE best way. Haha and the only way tbh that I've managed to learn hard things myself. And will do!! Thanks so much for supporting me ❤
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
Hello, what exactly does she mean when she says iterate?
awesome topic! efficiency while learning is what its all about!!
Yesss! Or else you very quickly get sucked down a rabbit hole. So glad you enjoyed it!! :)
How old are you? My daughter wants to know.
Effective yet not too complex Strategy!!! This just saved me from overanalyzing and overthinking.....
Yesss!! Let me know your progress ❤ And lol I totally get it - that's me to!
Big Fan of Jose and StatQuest! I've also been reviewing another course on Udemy titled: Complete Machine Learning with R studio - ML for 2021 by Start-Tech Acadamy. I've learned most of my python and R skills with Jose, but this last course took things to a much deeper level. I would start out with Jose though. Great Instructor. Easy to follow, build the foundation and then go from there. Great video. Thanks for sharing your resources used and your journey with us all.
I’m failing to be a great data scientist and I’m trying since the start of 2020 I always keep starting from beginning
What I've learned is to go with a start small approach like I describe in the video. The idea of becoming a great data scientist is super overwhelming because there's just so much to learn! Try to start small and apply the framework of learn the minimum, project, iterate, and lots of accountability. I think you'll set yourself up for success this time around :) You got this!!
That's mic look good i like it but i don't understand why your voice still have echo sound, are you sure your mic active? btw yu speak like a rapper tho' 😅
It's great to see people just like me😎. My first ml project was medical image area detection. And got my first paper publication. Yaay!! ❤️. Love your channel. Subscribed ❤️
Wow. No bluffing, very detailed and greatly helpful. Thanks!
So glad you enjoyed it 😊
Trust me,this is just 50-60% of data science. There are still other things to know like Big Data, Hadoop, Docker,AWS etc,etc
1) Learn just enough
2) Do a project
3) Iterate
4) Accountabily
Here we go!
Learn just enough and do practical implementation
Balance is what you need in early days of learning data science.
Yess ❤️
Thank you for all the tips. Helps a ADHD personality stay accountable.
That is literally me...I spend so much time setting up all these systems to make myself do things lol
@@TinaHuang1 thank you, really...
Thanks for the insight...now, I can take different approach to learn Data science..(I really like the point- Learn enough and start with a project)
Yay I'm so glad you found it helpful! Let's get started in 2021!!
Good video. The amount of content that one could learn before getting start in machine learning is absolutely endless. One class of algorithms might have a whole book. Data science needs to be project based learning!
Yess! It can really get overwhelming too
i like that you're so blunt in the video and how it hits home since i also have the same issues:))))))) thank you for making this, tina!
Lmaooo yes the first thing I had to do was admit I had a problem 😂 so glad you enjoyed it!
Which projects can you suggest? Because most of the "projects" ive seen online are grabbing some code and changing a few variables and boom you have a perfect AI
LOL this is so true it’s not even funny 😆 so For beginners I do recommend doing projects that people have started and since projects are really never finished you can replicate that but take it some steps further. This builds confidence and teaches you the logic behind the analysis from someone hopefully more experienced than you. As you do more projects I highly recommend working on real world projects from consulting and open source because that’s a good way to eventually get a job :) I’m making a video about this now haha
I don't know if ur gonna reply to this or no (btw sorry for my confusing English)
the only thing that scares me for shifting to be a Data Scientist is neither programming nor math, but the business domain/knowledge! Different company is also different on its business stuffs, and my knowledge and logic in business is very bad.
In CRISP-DM, the first step is Business Understanding. I can't imagine what to do if they give me a fresh raw data, and tell me to do EDA or gain insights from it (i said "can't imagine", because i'm indeed not being a data scientist yet)
please help me 😭😭 or do you have a video where u talked about this, about having a domain knowledge? thank youuu in advance ❤
hi daniel! fellow fan of tinas and stumbled across your message 😊 I’m also a data scientist and have a few videos on my channel on CRISP-DM (my company also uses this!) and importance of domain knowledge & stakeholder management skills! Hoping it may help you out?
I am trying to do as Tina suggests here: learned JUST ENOUGH and proceeded to my first ML project. It was linear regression. I stumbled upon how to make a prediction. Or, more precisely, not HOW (there are functions for that), but rather where is predicted value in the videos I watched. I watched some more videos on Linear Regression / predicting values, and there always were steps like:
- loading and reading the data
- inspecting and cleaning data
- spliting dataset
- building a model
- training the model
- visualisation
- assessing R^2 and MSE coefficients
But I never got to see the actual *predicted value*!
Is linear regression considered more of advanced thing, and I better had started with classification model, for instance? Or what am I doing wrong?
I'd appreciate an advice or constructive criticism!
I’m glad I came across your video. This is a good start to learn Data Science! I immediately subscribed this channel as soon as I finished watching it.
I’m so glad you enjoyed it! :)
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
I literally searched asian data scientist girl to find her channel
I'm glad I found this channel. Thank you & stay blessed Tina!
Awesome strategy Tina! And I’m so amazed by the video production and cake footage haha!
Thanks so much Iulia :) Hahah sadly I can't claim credit for the cake footage!
My friends, search for your life purpose, why are we here?? I advise you to watch this series 👇 as a beginning to know the purpose of your existence in this life..
ruclips.net/p/PLPqH38Ki1fy3EB-8xmShVqpbQw99Do2B-
GREAT VIDEO!!! Just one question, I am curious if you are reading a script or you are actually going with the flow?
That is because you are doing it very well and I want to do it as well.
Happy holidays Tina, Thanks for the amazing video, I promise I'll do my best not to watch cat videos a few days after this :3
Happy holidays!! I'm so glad you enjoyed it :D hahahaah that's what I tell myself everyday 😂
This video is soo good. The number 1(!) question I've had in moving into industry when I finish my PhD is "how much do I need to know about X" to get a job.
When you said "variable declaration, loops and OOP" - I was hooked.
Thanks so much for the vid, this was legit one of the most helpful vids I've found on this topic so far!
Saved to “My Favorite” list :) thank you.
Hi Tina, thank you for providing these useful info for learning data science knowledge. I'm going to pursue a MSDS soon, and I'v learned python ML, MySql, and some Hadoop during my free time, beside working on some resume projects and keep practicing the skills, are there anything I can do to ensure myself getting an intern? Thank you very much!!!
I want to learn Data science with cyberSecurity is that worth?
Bruh this girl talks like Data Science is that ez
For everyone to know, you need
1. Fucking Masters Degree
2. Be a Pro Database Engineer
3. Be a Pro Programmer like HARD LEETCODE questions
4. Be a Pro Statistics
5. Be a Pro Data Analyzer
6. Be a Pro Data Engineer
Now its a roulette in the job interview and which one u get.
Make sure u can predict Bitcoin price with a high accuracy!!!!!!!!!!!!!!!!!!!!!!
While studying Data Science, sometimes I feel like like mi sight grows dim because of all the topics I try to learn and understand. But videos like this make me understand that I am on the right path. Thank you su much for such enlightening content.
some one join me I'm scared to learn alone 😣
Join 66daysofdata discord!
Hey Tina! I'm about to watch this video, after initially stumbling upon your video on the scoreboard. You're a really awesome person, and I really appreciate the effort you're putting into creating these videos. I haven't watched this current one yet, but it'd be great to hear what's changed over the year, if anything. I can already tell your editing and recording quality has improved a ton, and that's not a sleight. I'm excited to learn, thanks again!
I learned a lot of things from watching this vlog,Thank you!
You're so relatable and that makes it feel like it's not impossible for me to learn it! Your video is also super informative and well-constructed. Can't believe it's only 12 minutes.
Love this - really breaking it down and I love the saying, "Learn just enough" so many times I've started on the - I need to learn everything and then do
I am currently trying to learn python as a junior Cybersecurity student;I feel so behind but this video is definitely encouraging! thank you!
Really good video!
Amazing, you go over everything step by step
Thanks!
Is Project important in Learning Data Science Or Data Analyst ? As a Beginer How Many Project Should to do? in Excel ,SQL , Power Bi , Tblue , R basic and Python Basic ?
Woah!! This will actually help me accelerate my learning process.
Yay I'm so glad :D Let's get ready for 2021!!
know ml algoorithms,deep learning specialization,staquest,jose portilla udemy,math sql.....now what
I've taken lots of paid courses (and completed them) on machine learning. What I could really beef up on is EDA and data visualization. Any course/book recommendations?
I would like some advice.
I would like to move towards Data Science or Data Analytics.
Is selfstudy enough to get a job in Data Science or Data Analytics? Or is it better to get an education for that?
Selfstudy isn’t that hard for me to concentrate, but i feel like missing some knowledge in some areas.
For Education, You go to school and you learn all different types and others, but a lot time is spent on useless subjects you never use.
I almost finished with Software Developer education, What I learned was most for webdevelopment.
html, css, js, Java, Python(Django) and sql.
thank you in advance : )
uncommon philosophy. have you ever witnessed any 'super riffers'? People who have an intuitive knack for eliciting the desirable behaviors of "unlikely datasets" they want to remake into their own idea but.....quick. They would most likely have: a. their own 'home rig' of assembled machines or b. they're the only ones aware of a "no code" interface that hasn't been released to the general public yet. ('m half joking and half serious).
Great video! Super detailed breakdown. Totally agree with doing projects as well.
Yay I’m so happy to hear that! ❤️
you’re cute! thanks for the video🤍
Yess stat quest
Thank you for mentioning the resources. It was definitely informative. I am a SWE thinking about transitioning to DS. I think it would be great if you can make video about the process of doing the actual project. I haven't researched much but I haven't seen something like that a lot. I am not talking about showing the implementation of model and how to choose different approaches but very hight level going through the overall process for someone like me who can learn pieces if they know what they actually are the necessary part for becoming a Data scientist.
Hmm I recently did a project video but it was more specific to the sentiment analysis I was doing. I think that would be an awesome video topic :) Thanks so much for the suggestion - it's high up on my future video list now so stay tuned!
The biggest obstacle I've faced after going through this is that I lack experience for Data Science and even Data Analyst roles (I'm a 2020 math grad for context). It seems like the only hope is to take a different role with the hope of moving to a data science role from within the same company.
U r great Tina ❤️
Love from Bangladesh 🇧🇩🇧🇩
What do you recommend for a completely beginner, I just graduated high school and want to start learning as soon as possible. I don’t own a computer yet but do you think a laptop will suffice? Or should I buy a pc? Please let me know I don’t know nothing 😭
Everytime I start to Learn ML i just get lost In DFS approach of learning and i get overwhelmed.I Hope In 2021 it won't be the same case.And The Credits goes to Tina....
I totally get it! I used to be like that too, which I think works in specific cases. Generally this works far better primarily because it helps combat the overwhelm/accountability aspect :) You got this!!
Thanks a lot for your video.
Especially, the recommendation for choosing projects to do.
Great Video, I liked the framework thing, I had been stuck in my life for a while and I am thinking of implementing this, I am saying this here because i want to be accountable, I hope I will not disappoint whoever is reading this comment.
I am planning to do masters in data science , is it worth it ?
Btw I love your videos and most important thing in this video was “learn just enough” and start working on a project.
Make sure to check the alumni and see if they end up with jobs that you would like to go into! And I’m so glad you enjoyed the video ❤️
nlp seems like a very interesting new interdiscipline. the wordl has changed forever by technology, and it is so amazing. we were born in the most exciting time of mankind. I'm so grateful for that and that feeling motivates me when my code sucks :D
The sources are really nicely articulated ma'am! And I do agree that getting some hands on experience with real life data analysis will definitely help provided one has gathered some basic learnings of both programming and Data Science. As far as my experience is concerned "Solving real world data science tasks with Python Pandas" by Keith Galli helped me a lot to get curious about the practices involved in DS. Fab content you have once again!
I’m so glad you enjoyed it!! Ohh thanks for the suggestion - I’ve got to check it out 😊
im a Delivery boy for Pizza, can i become data scientist?
The content is really helpful, but it is very very very uncomfortable to hear the voice rapidly change. I dk what is the purpose to make this, it is just make me cannot focus on the content.
Hello. l don't have a college degree or university. Can l become a frontend developer? And Can l get a job after a completing a with course certificate?
I liked this video before I decided to watch it. Cool TITLE
Hi! How many hours do Data Scientist work per week? And do you have enough free time?
Hi Tina. Good video. Which of the two paths do you recommend for python DS? (a.)Would it be better to subscribe to paid platforms like data quest or (b.)just take one extensive course as suggested (Py bootcamp - Jose.P). What was your approach?
Hi! I think it really depends a lot on your learning style and your goals. I don’t know much about dataquest but I would do my research very carefully on what these guided projects they talk about exactly are and how that translates to achieving your goal eg. learning, getting a job etc.
Interest is key to self-learning. And imo interest is what makes a career fun. Having to learn something just to have a job is horrible and I don't see how a person would be successful in a career if they weren't interested. Learning is an ongoing thing.
The truth is basic statistics is definitely not enough for ML for a practical working situation.......
Cause when I don't know, I don't know what I don't know -
that literally defines how it feels to try learning from random sources online. A course sounds like a good idea
Thank you Tina! I 've a degree in political science. What are my chances of getting along with this great field. Thanks!
Wow I was using the same technique without even knowing that u use the same.
Video says 2022 thumbnail says 2021 video released 2020 wow XD
I'm a graduate in IT and I plan on doing data science. I'm planning to pursue masters in computer science and learn data science through courses online...how does that sound?
😌😌so satisfying to see a person, who have exactly same problems and having pro tips to solve them... Loved you video 😍😍
Great video I will definitely use your method. I previously tried learning data science using Coursera and completed Andrew ng’s ML course, Deep Learning Specialization, uni of Michigan Applied Data Science with python but never did enough projects to actually land a job. Now 2 years later I will try again even though I’m sure I forgot a lot already . Thanks for motivating me!
Yup knowledge is only half the equation! You got this!!! I don’t doubt that you’ll succeed ❤️
nice video, new sub, this is actually a good way, i learn absolutely new stuff exactly the same way minus the accountability , can vouch on that this systems works the best
your audio seems like its lacking that bass id recommend looking into that otherwise great vid
Why is the gain on your Blue Yeti mike at 0?
I've been a neuroscientist for quite some time, phd and post doc included... I'm thinking of formalizing and cementing my knowledge of data analysis in order to leave academia, where I've basically been learning bits and pieces of 'stuff' when it became necessary (like, a bit of python, a bit of r, a bit of ML concepts, and so on). I've just started the IBM certification after your other video! I've stumbled upon data science because of my job as a neuroscientist but I've now been thinking of changing careers, and your videos clarified a lot of fuzzy concepts I had going on in my mind.
I discovered your page and I love it. I m getting my full time data science job this year. Speaking it into existence.
🔥🔥 Yess it all begins in the mind! 😉 Let me know when you get it!!
Daang...im same too... I want learning fast, coz i easily get bored and switch to watching...well in your example cat vids 😆
You guys can use khan academy for stats 🤞
Tina what about Google's Data science certificate?
man i wish i'd found you right at the beginning of my dissertation project TT.TT
Hello Tina,
Is it recommend to code all the machine learning algorithms from scratch so that I can learn math behind it or just understand and start to code?
I wouldn’t do them all from scratch in the beginning. If you want to you can always do that once you’ve played around with them and used them. The primarily reason is that it may be very difficult and take very long, which is highly discouraging in the beginning. In my experience, learning things a bit and then iterating is far more effective in increasing the probability of actually getting it done :)
@@TinaHuang1 Oh my Tina is really spitting some truths... I usually dive as deep as possible with the topics I am learning and by my own experience I have realized learning ML algos from scratch at the beginning is the worst idea. I will follow your plan now :)
someone who wats to start this from scratch with me? If you know spanish better xDD
i esp like the accountability part. props to you for the emphasis 💙💙
Yesss ❤️
The truth is, in 2021 you don't need to learn data science, it's outdated.
I will stop watcing catpusic channel and start doing projects😼