I am really inspired by everything that you have said. The videos that you have made , actually help me alot on the journey to become a data scientist.
I just stumbled on your videos and I must say the contents are really insightful. I will try to watch asmuch as possible and let you know what my questions are. Thank you!
Solid video! I am kind of binging your channel as I am committed to getting a job in Finance with Data Science. You mentioned data wrangling being over 50% of the workload at a job. I am going hard on Pandas and all supporting libraries (2 - 3 hours a day for a couple of months). Do you think this will cover the data wrangling side or are there other libraries/stacks/tools that I should be getting into? Thank you for all of the great content!
#22: Great video, Data Science is BIG, a lot of data cleaning, no control of projects, tons of smart people in the environment & things to do, new technologies, research, framework. Sometimes it feels overwhelming 🤷🏻♀️#66daysofdata
Amazing video Ken!! While practising analysis of a simple dataset, if most of the predictors are not statistically significant, how do we handle such a scenario?
Thanks for watching and for the kind words Ramya! It depends on what model we are using. In practice, you leave them in if they produce better results on validation and tests sets. If they don't produce better generalization results (the are over-fitting), you can simply remove them. You can also use a elastic net or something with l1 regularization that effectively eliminates the features that don't matter. I hope this helps!
Ken, TNX for very informative video. Just if you need an idea regarding new videos, I would be interested in your way to learn and apply new stuff effectively. There is so much to learn on a regular basis. It's currently tough for me to grasp, what is really worth to spend time on (e.g. learning statistics theory vs hand-on experince by try and error).
I am coming from computer science background. I took lots of stats courses but doesn't seem to sink in into me. I keep using just basic stats for my work in the finance/decision support department in hospital. I am starting to learn Python. Based on your experience what kind of statistics I should focus on study on that I can use at work? I plan to apply machine learning to emergency department that is a project I plan to take on.
Janice - Thanks for watching! I recommend this video, where I go into depth about the specific math concepts that would be helpful to you. ua-cam.com/video/zSwM5uVeylU/v-deo.html
Hi Ken, your videos are very informative and everything is to the point. so, perhaps you can help me understand the role of SQL in data science and to which extent we use SQL in problem solving.
Thanks for watching and for the kind words. SQL is used mostly in the collection phase of data science. Most organizations store all of their data in structured databases which are queried with SQL. In most companies, you will need to know some SQL to be able to access the data for you to analyze it. SQL has some problem solving aspects (you can get averages, counts, etc.) but it is mainly used for actually accessing the data. In the following video, I do some quick SQL examples which may help you understand it better: ua-cam.com/video/WKXtTo7lqmA/v-deo.html.
@@KenJee_ds In your recent video you have mentioned 365 data science course as a learning tool you used urself. So i have there SQL course, Is that enough to learn all the required topics? TIA
Hey Ken, It was a great insight about data science..Can you make a video on How to explain a data science or ML model to my manager / stakeholders? with example..Thank you..
I like that idea! I would check out my data science explained with cooking video, I think that is a great analogy: ua-cam.com/video/f6NPw582FFc/v-deo.html
Hi ken Your videos are really informative. Could you please help me a little bit. I am a beginner and I am currently in search of setting up my domain field. Then I came to know about data science and I think it will suits me. So can you give a road map on where should I start learning. I have a basic knowledge in python and sql. Could you please reply to my comment.
Hi Krishna - This is the full playlist that should answer all those questions: ua-cam.com/play/PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs.html . I hope it helps!
Hii ken, currently, I am doing my bachelor's in computer science and I am really interested in the field of data science. I just want to know whether it is compulsory to have a master's for a data scientist?
I have completed my high school in india. I have decided to pursue a course in data science. What should i learn first (I Just know it has statics and programs) I don't have any basic idea. Is there any free apps to learn about data science .what must be the basic qualifications to get a secure job in data science courses.
Well i am also thinking to start a career in data science, but while learning i got stuck and didn't understand the thought process of that code, is this normal?? Or i need to do something else
Do I need to practice leetcode for data science interviews? Or is it ok to know only statistics, mathematics, Python's data science libraries and Kaggle contests, but no interview coding questions(the ones related to datastrucrures and algorithms)?
It really depends on the company. I would go in Glassdoor to see if they do a coding assessment. Usually if you can handle all the easiest level of questions on leetcode you should be fine
It is awesome that you are interested in it at that age. I think you are way ahead of the curve. I would first start with experimenting with some coding in python. Next I would try to do some simple projects. Kaggle.com is a great resource that you should use to see how other people code. I would spend a lot of time on that website. I hope this helps!
I wish I had gotten interested in an economically viable field when I was your age. I chose my major at university based only on which classes I thought were interesting. Now I have an engineering degree in a field that the bureau of labor statistics says has a 0% projected job growth for the next 10 years and I work in a warehouse.
I am really inspired by everything that you have said. The videos that you have made , actually help me alot on the journey to become a data scientist.
Glad to hear! Thank you for watching my videos!
Great video Ken. My placements are in about a month's time. This helped answer a lot of questions. Will look into docker and sagemath .
I just stumbled on your videos and I must say the contents are really insightful. I will try to watch asmuch as possible and let you know what my questions are. Thank you!
Thank you for wathching!
Solid video! I am kind of binging your channel as I am committed to getting a job in Finance with Data Science. You mentioned data wrangling being over 50% of the workload at a job. I am going hard on Pandas and all supporting libraries (2 - 3 hours a day for a couple of months). Do you think this will cover the data wrangling side or are there other libraries/stacks/tools that I should be getting into? Thank you for all of the great content!
I think it should be a good start! I would also get pretty good at SQL. That is a huge part of most interview processes. Thanks for watching!
I recognize that degree you have hanging up bc I have one just like it. Wahoowa!
Great info. Great videos. Thanks from Colombia 👍
Thanks for watching Diego!
hey ken , apart from docker and sagemaker can you make a video based on what we can learn now that will help us in production stage
I can look into it! I don't personally do a ton of this aside from in my projects, so it may be useful to have an expert some in
I agree this would make a great topic and Ken is the man to get it done!
Thanku for sharing! I know these now🙂
Thanks for watching!
@@KenJee_ds my pleasure:)
Another Great Video , Thanks man
Thanks for watching!
Thanks for the points! I'm suuuper excited to start my DS internship!! ❤️
Thanks for watching! Good luck with the internship. I would love to hear how it goes!
@@KenJee_ds Thank you! Will do. :D
#22: Great video, Data Science is BIG, a lot of data cleaning, no control of projects, tons of smart people in the environment & things to do, new technologies, research, framework.
Sometimes it feels overwhelming 🤷🏻♀️#66daysofdata
Haha it is a bit overwhelming, it helps to have systems to sort it all 😅
Amazing video Ken!! While practising analysis of a simple dataset, if most of the predictors are not statistically significant, how do we handle such a scenario?
Thanks for watching and for the kind words Ramya! It depends on what model we are using. In practice, you leave them in if they produce better results on validation and tests sets. If they don't produce better generalization results (the are over-fitting), you can simply remove them. You can also use a elastic net or something with l1 regularization that effectively eliminates the features that don't matter. I hope this helps!
Thanks a ton for replying@@KenJee_ds . Sure I shall try that!
Ken, TNX for very informative video. Just if you need an idea regarding new videos, I would be interested in your way to learn and apply new stuff effectively. There is so much to learn on a regular basis. It's currently tough for me to grasp, what is really worth to spend time on (e.g. learning statistics theory vs hand-on experince by try and error).
Thanks for watching the video and for the video idea! I’ll definitely be making something along those lines in the next few ninths. Stay tuned!
I am coming from computer science background. I took lots of stats courses but doesn't seem to sink in into me. I keep using just basic stats for my work in the finance/decision support department in hospital. I am starting to learn Python. Based on your experience what kind of statistics I should focus on study on that I can use at work? I plan to apply machine learning to emergency department that is a project I plan to take on.
Janice - Thanks for watching! I recommend this video, where I go into depth about the specific math concepts that would be helpful to you. ua-cam.com/video/zSwM5uVeylU/v-deo.html
@@KenJee_ds thanks
Hi Ken, your videos are very informative and everything is to the point. so, perhaps you can help me understand the role of SQL in data science and to which extent we use SQL in problem solving.
Thanks for watching and for the kind words. SQL is used mostly in the collection phase of data science. Most organizations store all of their data in structured databases which are queried with SQL. In most companies, you will need to know some SQL to be able to access the data for you to analyze it. SQL has some problem solving aspects (you can get averages, counts, etc.) but it is mainly used for actually accessing the data. In the following video, I do some quick SQL examples which may help you understand it better: ua-cam.com/video/WKXtTo7lqmA/v-deo.html.
@@KenJee_ds In your recent video you have mentioned 365 data science course as a learning tool you used urself. So i have there SQL course, Is that enough to learn all the required topics? TIA
@@AmitSharma-yi9dr Their sql course should definitely be enough to learn the relevant topics!
Hey Ken, It was a great insight about data science..Can you make a video on How to explain a data science or ML model to my manager / stakeholders? with example..Thank you..
I like that idea! I would check out my data science explained with cooking video, I think that is a great analogy: ua-cam.com/video/f6NPw582FFc/v-deo.html
Hi ken
Your videos are really informative. Could you please help me a little bit. I am a beginner and I am currently in search of setting up my domain field. Then I came to know about data science and I think it will suits me. So can you give a road map on where should I start learning. I have a basic knowledge in python and sql. Could you please reply to my comment.
Hi Krishna - This is the full playlist that should answer all those questions: ua-cam.com/play/PL2zq7klxX5ATMsmyRazei7ZXkP1GHt-vs.html . I hope it helps!
What would you say the difference is between data scientist and machine learning engineer?
I actually released a video on exactly this today haha: ua-cam.com/video/BZFfNwj7JhE/v-deo.html
Ken Jee Thanks haha i watched it. Do you think a statistics masters or a cs masters is better for data science?
Hii ken, currently, I am doing my bachelor's in computer science and I am really interested in the field of data science. I just want to know whether it is compulsory to have a master's for a data scientist?
Nope! I think you can get in with some good internship experience or previous experience as a dat analyst or software engineer!
@@KenJee_ds ok thanks a lot for the info.
Great video! Though is it possible for me coming from finance background to have a work in Data Science?
It absolutely is!
I have completed my high school in india. I have decided to pursue a course in data science. What should i learn first (I Just know it has statics and programs) I don't have any basic idea. Is there any free apps to learn about data science .what must be the basic qualifications to get a secure job in data science courses.
I recommend starting with some basic python. You can do the free kaggle.com micro courses. I hope this helps!
Well i am also thinking to start a career in data science, but while learning i got stuck and didn't understand the thought process of that code, is this normal?? Or i need to do something else
This is perfectly normal. You should keep trying. I still get stuck on things, even now. You have to be patient with yourself and stick to it.
I totally agree with your points.
Thanks for watching!
@@KenJee_ds 3seee b
Do I need to practice leetcode for data science interviews? Or is it ok to know only statistics, mathematics, Python's data science libraries and Kaggle contests, but no interview coding questions(the ones related to datastrucrures and algorithms)?
It really depends on the company. I would go in Glassdoor to see if they do a coding assessment. Usually if you can handle all the easiest level of questions on leetcode you should be fine
Thanks a lot!
Hey ken , I am 16 and I am really interested in learning data science and pursue it as my career ... Any tips for me
It is awesome that you are interested in it at that age. I think you are way ahead of the curve. I would first start with experimenting with some coding in python. Next I would try to do some simple projects.
Kaggle.com is a great resource that you should use to see how other people code. I would spend a lot of time on that website. I hope this helps!
@@KenJee_ds thanks a lot ken 😊
I wish I had gotten interested in an economically viable field when I was your age. I chose my major at university based only on which classes I thought were interesting. Now I have an engineering degree in a field that the bureau of labor statistics says has a 0% projected job growth for the next 10 years and I work in a warehouse.
Awesome
Thanks for watching!
This for u brother.
Proudly Asian!