Where to Start Learning Data Science
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- Опубликовано: 30 сен 2024
- In this video I talk about where exactly to start your data science learning journey. This is one of the most frequent questions that I get. Hopefully this will shed some light on your path and give you a concrete starting point.
Unfortunately, everyone learns data science a little differently. What works for me may not work for you.
It matters less where you start learning and more when. You should start right now and choose a course, certificate or project. Just do it. Most of the resources out there are very good, and you won't notice a difference as you learn more.
Once thing people don't realize is that learning data science is additive. If you want to take multiple courses, go ahead! No one learns data science from a single source. I have learned data science concepts from my schoolwork, projects, certificates, other people, etc. You shouldn't think one certificate will teach you everything.
Again, these are my best tips on where to start learning data science!
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How do you learn the advanced algorithms?
How do you maintain notes during learning or building projects of data science? I think video or audio recording works better for me....
I use notion, or make notes as a comment in my notebooks.
@@KenJee_ds okay...
Thanks for another great video, Ken! The video editing and transitions are awesome! I certainly agree that one of the misconception of learning data science is limiting one's learning to a particular resource, as you said, nothing is stopping us from learning from another resource. Because the thing is, different resources may bring slightly different angle or coverage of the same topics and thus helps us to gain a more thorough breadth and depth of those topics. Really like the "rinse and repeat" part, learning data science is indeed a never-ending iteration loop.
On linkedin, I compared it to gradient descent. You start kinda randomly and as you learn more about the field you know what direction to take. Very "Meta" haha
@@KenJee_ds That is an amazing and visual metaphorical explanation, couldn't have said it better, you're an amazing communicator! 👍
just loved the image/audio quality on this one! congrats Ken!
Thank you! Still getting a feel for my new setup, but hope to be continuing to improve in that area!
Definitely. The audio and video is huge step up. Great job!!
Ken Jee :)
I am doing ML right now.
I realized I am not good at Data Structure and Algorithms. I find people advising to learn them.
What should I do? I have a problem with doing one thing at a time. Please mention importance if any.
Thank you :D
I wouldn't worry about them too much right now. I would focus on understanding the ML algorithms and learning to analyze data. You don't really need to understand how most data structures work until you are building your own algorithms.
@@KenJee_ds Thank You :) I believe you. :D
Keep growing the channel, Ken. 100k is just around the corner!
And I wholeheartedly agree with your tip of reviewing other people's code. My number one tip is to go through GitHub and search by keyword for projects that interest you. From there, you can find people's scripts and run them chunk by chunk. This way you're learning from people that have a good coding foundation. This is one of the methods I used to learn R.
Thanks for watching D T! One of the unique things about data science / software engineering, is that you have the ability to clearly see other peoples work (even while it is in progress). It is awesome that you learned R using this approach!
Wow this is the complete opposite approach from my college curriculum lol
@@herochi1804 I would imagine so. I wanted to learn to code because it's something I've always had an interest in. I'm not in the data science field and went to school for an unrelated field. However, I had some other interests that necessitated the need to code. And, of course, learning from others publicly available code was just one of the ways I approached learning.
@@herochi1804 Yep! Definitely a different way of going about things. Colleges use a similar concept actually if you think about it though. They tell you exactly where to start so you don't have to worry about it. With this you know where you start doesn't matter much so you don't have to worry about it either haha
@@KenJee_ds Thanks for the clarification!
Hey man, really enjoyed your video :).Would like to ask a few things. I've started a data science course on udemy and I would like to know if there's any platform that you know of that would help me practise the concepts I've learned. Let's say I just finished regression, and I want to practice some problems on regression, where should I go.
Also, would it be possible for you to make a Kaggle tutorial that would help us familiarise ourselves with the website? Like I tried to get on Kaggle and found myself lost and everything looked very high profile and I didn't know where to start as a beginner
I think kaggle would probably be the best place for the first one. I am actually in the process of making some content for kaggle early next month! Please stay tuned for that!
Hello Ken, thank you for sharing your insights. I was curious if you have any videos where you go over soft skills / how to tell a compelling story?
Thanks for watching Jonathan. I don't think I have one right now, but I will definitely put one out. Great idea!
Can anyone pls suggest some good laptops budget of around 50 k for learning & practising Data science....? I need your help i don't have any laptop before so pls help me I want to learn Data science ......! I'm waiting for ur reply... Thanks in advance ..!!
My video on Friday is about the best computer for data science. I am not sure what currency 50k is, but please stay tuned for my video!
Sry for not mentioning the currency its 50k Inr .......!!
I'm hooked to your channel. Your content is relevant and has offered me insights and motivation on this journey that I started one year ago. Thank you very much for sharing your time and knowledge...
Thanks Natasha! I'm really glad it has been helpful to you!
Free courses of data Science please...
ruclips.net/video/Ip50cXvpWY4/видео.html&ab_channel=KenJee
I found your channel just after I started learning Data Science about a couple of months ago, and you've been really helpful and encouraging man.
Glad to hear that Dheeraj! Thank you for watching my videos!
Hey ken great video as always. I feel like on of the things people miss is consistency, if you do just a little but every day you will get there eventually. That’s actually stuff I talk about on my channel I am Vloging my path from no code to data scientist in 6 months. See ya!
I will give it a look! Thanks for watching!
Ken Jee Thanks for the support. Let me know if anything stands out that can help me improve. Dm on here on YT, would love to talk about is missing about DS on RUclips. I feel like the path towards becoming a DS is less documented than people who already are successful. That’s what I try to show.
Hi bro
Can we become a good data scientist without unversity
Love the B-Roll scenes!
Huge fan of doing projects to learn. Applying the concepts I learned into projects has helped things stick better for me!
For anyone interested, Mario is the person I referenced in the video!
@@KenJee_ds I've been revealed haha!
If anyone wants to get in contact with me regarding how I got started or would like to ask questions, feel free to email me.
Email: mariorashad.paul@gmail.com
Hi Ken! I’m a 15 year old in highschool and I just finished a course on Data a science on Udemy. I have attempted a few projects on Kaggle and they’ve worked out pretty well. Do you have any advice on how I can progress further and some goals I can work towards?
That is awesome that you are starting so young! I think kaggle is a great place to continue to grow your skills. I would also recommend learning how to collect some of your own data and analyzing that. I would perhaps set a goal of competing in a kaggle competition by the end of the year. This can really teach you quite a bit. Also, perhaps you should also try to find some opportunities with your friends and family to do real life data science projects. I hope this helps!
@@KenJee_ds Thank you so much, Ken!
Given that I do not work full time current, do you think it would be feasible for me to spend 6-5 hours a day (in 1.5-2hr blocks) learning various Data Science building blocks / projects. I did spend most of my time studying/sitting in lectures back in university, however, not having done that recently may feel a little overwhelming if I do decide to spend that much time on learning again. P.S. I am enrolled in Springboard Data Science Career Track.
I think it would definitely be feasible depending on your motivation and dedication. Honestly, I would probably start smaller than that though. I think the best way to learn data science is to stay consistent and make sure that you don't burn yourself out. I made this video related to that which may be helpful: ruclips.net/video/akbU9KOo_Qc/видео.html
Great channel! Linked & Subscribed!
Do you have books recommendations for the ML concepts? Most books I found explain how to code but I'm more interested in the math & stats behind those concepts. Thank you
Thanks for the support! I think that this book does a good job of explaining both: amzn.to/2OVzkAi
Thanks for this Ken. Im learnning Data Science by my own and im trying to find the best type of learning that is best for me, your video helps me a lot, ill try to do more projects and see more the documentation
Thanks for watching!!
RUclips suggested your channel and I had to watch. It was last week. Then I returned in order to find a video on "Where" to start learning. But, what you talked about was "How to learn". I mean, the advices were "No matter what courses you watch, just make sure to do in a way that you feel that works for you. Look into Kaggle and learn from built projects" and such. However what I couldn't find is exactly where to start on languages.
Please, please, don't get me wrong I'm just trying to understand where to focus the inicial focus to learn this science.
What I was looking for was something more fundamental, like "Start learning Progamming Logics, then you should tackle the basics of a programming language like R or Python, then you should learn about DB with..."
I don't even know if it is necessary to learn about database to be on Data Science lol.
Again, don't get me wrong. In reality I'm asking you: What are the fundamentals to start to learn this awesome job?
I see the enthusiasm about this topic on your videos and for a long time I had this will to learn, however I'm not a programmer myself, in any language at all. Could you please, help me to find the initial step?
Thank you for your videos, they made me like Data Science even more, even when I don't understand almost nothing about this world.
Wish you success and waiting to see more videos. If not about my request, well, Data Science is already enough for me to follow the channel.
Thanks for watching Humberto! So I recommend the kaggle.com micro courses to start learning python for data science. They are free and take you through the exact tools you would need for data science. Basically python -> basic ml algorithms -> more advanced ml algorithms -> sql -> deep learning. If you want something more structured, I recommend the 365 data science materials for learning python as well (this one is paid). If that is something you're interested in, these are some discount codes for the coursework: 47% Discount on 1 year: 365datascience.pxf.io/Z7gXQ or
20% off one month: 365datascience.pxf.io/NjbEv. I hope this helps!
Really like the advice you give us here, especially the kaggle part! I have been using those trick of reading someone kernel/notebook but it does get overwhelming, so knowing that it's hard for everyone really put me at ease. By the way, would you mind if I email you just to get a piece of advice from you regarding my study path?
Thanks for the kind words! Feel free to reach out via email (in the about section of my youtube page). Please try to make sure I haven't covered the questions in a video though!
What do you mean by documentation? You were abit vague there. Could you elebarote on that? THANKS
Almost all programming packages that you use have source documentation from the people who created it. Pandas, numpy, scikit learn, and the other main packages have websites that show the source code and explain how to use each of the methods. This is generally what is referred to as documentation or docs when coding. I hope this helps!
you are the best
I appreciate it Adam. Thanks for watching!
The videos you prepare are so on point and informative. It is not vague. The correct amount of informative touch with a pinch of reality. Hope it gets more amd more better from here. The only video that didnot satisfy me was with jay, it may be the rich content he has in his youtube channel already, you just stopped the questions with few..anyway enjoying the growth..thanks.
Thanks for the feedback ajayan. I will try to do better in the interviews in the future. I don't think our chat did Jay's channel justice, I think he produces some really great stuff there!
Hi Ken. Based on your experience do you think/consider as possible to start a carrer in data science at 28 age? I studied industrial engineer and I am interested on it but i ask it because of the needed time, average, to become a good data scientist. Greetings
I think it is definitely possible! Since you are coming from an engineering background, I think it would be slightly less difficult as well.
I greatly appreciate your channel. I am always trying to figure out if it's best to concentrate on learning how to use one tool like Pyramid and be proficient, especially when you don't quite have the time to learn to code as well. What's your take?
I recommend just trying to do a little bit each day. I find that I do worse when I try to learn a lot just a few days a week compared to doing a little bit each day.
Is that the 1080p 34 inch monitor? have the pixels been enough for you?
Yep, they have been. I don't do much gaming, I just use it for work. It has been perfect for my needs
Hai ken thank you for sharing with us the way we should take to learn becoming a data scientist. Honestly, many people still have lack of listening in english, including me. Would u like to add caption in this video? Thank you
I will try! What languages?
What a Irony sir I always gets the solution of my problems every time from your videos at perfect time.
👍👍👍♥️
Really glad to hear that! Thanks for watching so many of them!
Brilliant work as always. Is it true that there are no datascience jobs and internships for freshers that are recently graduated from college or do they need some work experience in order to get a job. Does being a SWE in a big tech company adds as a advantage to get a job or do we have to have datascience domain experience only to get a job in FANG companies. Do reply.
There are definitely still data science jobs for freshers and recent grads. The best way to actually get into these opportunities is through networking though. I recommend going to meetups, using linkedin well, and putting yourself out there. I think it is a lot easier to transition in to data science if you have been a SWE, I think it is a complementary skill set. It should greatly help your chances and help build your network. Thanks again for watching!
So happy to have found this channel. It's like I found a mentor. Thanks for the videos! ❤️
I'm glad you found the channel too! Thanks for watching!
Thanks a lot Ken! Awesome content as always...
Thanks for watching as always Nithin!
ken Jee sir ,,,what are the things should i learn to become a data scientist ...
ruclips.net/video/IFceyuL6GZY/видео.html
All the things you said really helped me in my journey of DS.
Awesome!
hi, thanx for all the videos they r really a great content.
am asking if u can have a video about remote working and internship, because am from morocco and i love data science and am starting learning it but companies in this field here is so rare so am asking if there's a chance to get a remote internship in american companies after i finish my studies and projects ?
Hi Yassir - I will do my best to put that out there! I talk a bit about this in the live stream that I did a few weeks ago: ruclips.net/video/-3d1NctSv0c/видео.html I hope it helps!
That was awesome sir i really loved that and pretty much motivated by that. One unique thing i noticed today was your camera quality(that was awesome)
Thank you! I experimented with a few different angles and some color gradients. It means a lot to me that you noticed!
@@KenJee_ds that color gradients were very awesome
Thank you for your videos, Ken! I don't have any math background besides Stats 101. What level of stats would be helpful to get started in data science?
I think Stats 101 is all you need to get started programming and doing projects! After you build a few of those out you can start delving into the more advanced topics. I recommend watching this video: ruclips.net/video/zSwM5uVeylU/видео.html&ab_channel=KenJee
@@KenJee_ds Thanks for your reply! :)
First time I see someone from youtube use Spyder :D
Yep! Thanks for watching!
Hi Ken! I have a doubt regarding the projects. It's like what stream should I pick up, should I experiment it first, what suits me where I should be moving, or else is there any particular domain to start with, for career options.
Hi Digvijay - What types of things are you interested in? What types of problems do you want to solve? Projects should start from your interests. If you do something that you find useful and valuable, most employers will look at it the same way. I recommend watching the first episode of my data science project from scratch series. In it I talk about how I brainstorm projects and get something concrete to work from. I hope it helps you as well: ruclips.net/video/MpF9HENQjDo/видео.html
@@KenJee_ds Thank you Ken, I will start with my interesting ones. I'm grateful to you for bringing admirable content, which is inspiring me everytime.
Hi Ken, I am an Entrepreneur in manufacturing and holds a masters degree in manufacturing as well. Due to pandemic I had to close my business and am looking for opportunities in data science. I have completed few courses including the zero to mastery course by Daniel bourke which helped me create a lot of interest in this field. I am hoping to relate data science with manufacturing. Can you advise me about the same. Is it possible to find a job in data science as I am from a different educational background?
It is! I think there is a huge intersection of manufacturing and data science. Perhaps looking into outlier detection or image recognition for defects would be good cross over points. Daniel is awesome also!
@@KenJee_ds Thank you ken. Ur channel is really awesome and boost the confidence in budding data scientists. Keep going...
Hi Ken.... Please do live project or end to end project like you did with data scientist salary prediction
I am working on another one of this for sometime in the next few months. Please be patient with me, they take a little longer than the other types of videos I make. Thanks for watching!
@@KenJee_ds sure ken....I would love to wait!!!
Hi! I am from India. Here the IIT (India's one of the best technical institution) is going to provide a bachelor degree course of data science. It's a 3 year online course with exams to be attended being present physically in their campuses. So should I just concentrate on that course or complete it side by side along with Computer Engineering?
Hi Parth - That is up to you. I think the coursework would be beneficial, but what is more important is the internships that you do in school. If you think doing both degrees would be too time consuming to be able to focus on getting internships, I would only do data science. If you think you can handle the workload, I think it would be fine to do both. I hope this helps!
@@KenJee_ds OK, if I do the bachelor course in data science what should I do next in order to become a sports analyst
Informative tips! Cannot stress the importance of learning how to read documents!
Docs! Docs! Docs!
@@KenJee_ds Haha, as Bugs Bunny would say "What's up, Doc!"
@@DataProfessor 😂😂
Thanks ken, great video.
I am on the project level:
I am doing Twitter sentiment analysis and learning NLP.
I have a question, i refer to other people's github for guidance... Like the github i am refering for twitter sentiment analysis uses NLTK but in my project i am using spaCy..
Can i show this project in my resume?
I think it is fine if you are analyzing different data and taking a similar approach. It is also fine if you note the code that is theirs and just focus on the parts that are different. Some of my work was recently plagiarized so I will be making a video a little later on what is acceptable to include as your own on a project. So stay tuned for that!
@@KenJee_ds Thanks.
:) oh yeah,
Clicked the bell icon ^_^
@@Dynamite_mohit Thanks!
Hey Ken,
I'm gearing up to apply for an online master's in DS. I have a bachelor's in math and an MS in stats from a decade ago that I ended up not really using (long story). I've started learning python and I'm not completely sucking at it so I feel like I'm on the right track but my math skills are obviously pretty rusty. Any idea what kind of math I should brush up on to prepare?
The program itself hasn't even started, UT Austin is still putting it together and planning on accepting applications in the next few months. I was hoping to just get a little ahead of the curve.
Hi Evan - Good luck in your application process! I recommend brushing up on linear algebra, probability theory, and calc. I have more details on this and some resources in this video: ruclips.net/video/zSwM5uVeylU/видео.html . I hope it helps!
@@KenJee_ds ugh... Probability theory... 😫. Very helpful, thank you!
University of Colorado will be launching a Master of Science in Data Science [www.coursera.org/degrees/master-of-science-data-science-boulder] (MSDS) in 2021.
Awsome video ken sir..
Thank you for watching Archit!
Videos improving every time man ♥️
Thanks for the kind words Hazma!
@@KenJee_ds welcome sir !!
жаль я ничего не понимаю в английском и что ты говоришь, но ты крутой !
Great video! Thank you for the advice!
Thanks for watching!
Thnx Ken ! You are my fav RUclipsr as a beginner now!
Thanks for watching and for the kind words Jonathan!