I'm glad you are back! I can relate so much as we recently had weddings (one in the US and another in Korea) and bought a house too. A remote data scientist here (we live in my husband's hometown where there aren't many data scientists jobs) and I totally agree. I would prefer hybrid over remote for better work supports and many other reasons. Looking forward to seeing more videos regarding your new work! Definitely doing the same thing, trying to learn more MLOps whenever possible.
My 3 cents on ideas for videos if you're interested woudl be : 1) Past videos but with the new 2024 perspective on them 2) Guide on how to transition/learn more ML deploy/Data Engineer stuff since they are really really hyped in the moment 3) Thoughts on the near future of the data jobs :D
Great to see you back, congrats on marriage and the new home. For new content ideas, it would be great to see general videos e.g. your working experiences, career/life advice. Also more training vids, similar content as your R course, but in Python.
@@RichardOnData Looking forward to it. Maybe also a general video, as to how you work with python day to day , such as which IDE you use, with tips and tricks. For R, Rstudio is the default go-to for everyone. However, there seems a myriad of ways to code in Python. Most educators are python only or R only specialists, your perspective (as active user of both) would be invaluable.
That's a great idea. I know a lot of people don't know where to start with that. I use a combination of vscode and jupyterlab for python, depending on what I'm doing.
Glad to have you back! You're videos were great, a refesh of some of them would be nice. Also, short (3-20min) walkthrough of some programming screen shares for certain tasks would be nice. Thanks for all you've shared!
Yeah, that's definitely coming down the pipeline. As I look back now with my videos having some age on them, some of the programming tutorials got the highest engagement. It'll be a little more difficult standing these out because there's more python content out there than R, but I'll do my best.
@@RichardOnData I agree standing out is tough, but I will say what drew me in to your videos was how you differentiated yourself with excellent "context-explanation" throughout the video. When you give commentary around the "why" or reasons behind things, it's extremely valuable to hear (and something hard to find in many tutorials that just tell you what to do).
@@Ceeloy That's a great point. I've got a video coming soon on my python environment that's going to try to explain exactly why/when I use the things that I do.
One thing I've noticed in data science is that people are constantly trying to steer you away from what's exciting to work on something that will give more immediate "results". "Don't study big learning, do statistics" and then when I was trying to learn causal inference and that kind of thing people then say "Don't learn stats, learn business skills". Somehow it feels like my sights get set lower and lower until I'm just writing in SQL to only do things as advanced as taking a mean. It's really demoralising, what are your thoughts on this?
Welcome Back Mr Richard. It's been a minute. Congratulations on your achievements. I've been waiting for someone to talk about how machine learning and data science have become interwoven especially in the healthcare space
glad that you are back. Maybe you could explain how you transitioned to python, I am a student with some minor experience in R and I think about learning Python, due to its raising (and probabyl conitinuing) of popularity
Glad to have you back Richard. And congratulations to you and your wife, happy union. We missed your videos and advice man, really good you are back online.
Good to see you back! I've not been a long-time subscriber like most others have been but I've absolutely loved your videos. They've helped me in my data science MS program and in my current job. Thanks and keep up the good work!
Welcome back and congrats! Looking forward to new content. You say you've been using Python a lot lately and not R. How about Julia? Curious to hear what you think of recent developments there. And have you run into SciML by any chance or is that too far away from your core focus?
Depends what I'm doing. I'm a die-hard Shiny fan and prototype things incredibly quickly with R, though in a post-ChatGPT world that last piece is becoming increasingly obsolete. But these days for multiple reasons R isn't even a plausible option anymore, and I'm perfectly content with that.
Thanks Richard! Love your work. My work is mainly RND and interactive report generation and I love R for the reasons you just stated. I use reticulate where I need a python library. I have so many custom packages in R that jumping to python to recreate my packages just doesn't make sense at the moment.
I'm glad you are back! I can relate so much as we recently had weddings (one in the US and another in Korea) and bought a house too. A remote data scientist here (we live in my husband's hometown where there aren't many data scientists jobs) and I totally agree. I would prefer hybrid over remote for better work supports and many other reasons. Looking forward to seeing more videos regarding your new work! Definitely doing the same thing, trying to learn more MLOps whenever possible.
Welcome back! Congrats on your wedding. Im also trying to move from data scientist to learn more MLops/ML engineer, waiting for that video :D
Wellcome back. It's been a while. congrats on the marriage and th new job. I'll look forward for the new videos!
My 3 cents on ideas for videos if you're interested woudl be :
1) Past videos but with the new 2024 perspective on them
2) Guide on how to transition/learn more ML deploy/Data Engineer stuff since they are really really hyped in the moment
3) Thoughts on the near future of the data jobs :D
Thanks for the ideas, these are helpful! R vs Python in 2024 is coming soon.
Great to see you back, congrats on marriage and the new home. For new content ideas, it would be great to see general videos e.g. your working experiences, career/life advice. Also more training vids, similar content as your R course, but in Python.
I've been itching to do a video about 10 Python packages you should know. The similar R videos were received well.
@@RichardOnData Looking forward to it. Maybe also a general video, as to how you work with python day to day , such as which IDE you use, with tips and tricks. For R, Rstudio is the default go-to for everyone. However, there seems a myriad of ways to code in Python. Most educators are python only or R only specialists, your perspective (as active user of both) would be invaluable.
That's a great idea. I know a lot of people don't know where to start with that. I use a combination of vscode and jupyterlab for python, depending on what I'm doing.
Glad to have you back! You're videos were great, a refesh of some of them would be nice. Also, short (3-20min) walkthrough of some programming screen shares for certain tasks would be nice. Thanks for all you've shared!
Yeah, that's definitely coming down the pipeline. As I look back now with my videos having some age on them, some of the programming tutorials got the highest engagement. It'll be a little more difficult standing these out because there's more python content out there than R, but I'll do my best.
@@RichardOnData I agree standing out is tough, but I will say what drew me in to your videos was how you differentiated yourself with excellent "context-explanation" throughout the video. When you give commentary around the "why" or reasons behind things, it's extremely valuable to hear (and something hard to find in many tutorials that just tell you what to do).
@@Ceeloy That's a great point. I've got a video coming soon on my python environment that's going to try to explain exactly why/when I use the things that I do.
One thing I've noticed in data science is that people are constantly trying to steer you away from what's exciting to work on something that will give more immediate "results". "Don't study big learning, do statistics" and then when I was trying to learn causal inference and that kind of thing people then say "Don't learn stats, learn business skills". Somehow it feels like my sights get set lower and lower until I'm just writing in SQL to only do things as advanced as taking a mean.
It's really demoralising, what are your thoughts on this?
Welcome back! You mentioned DevOps, I'd be intrigued to see a video on CI/CD best practice for data scientists/data analysts.
Welcome Back Mr Richard. It's been a minute. Congratulations on your achievements. I've been waiting for someone to talk about how machine learning and data science have become interwoven especially in the healthcare space
glad that you are back. Maybe you could explain how you transitioned to python, I am a student with some minor experience in R and I think about learning Python, due to its raising (and probabyl conitinuing) of popularity
Welcome back Richard! Look forward to your great insights of DS and MLE path soon!
Glad to have you back Richard.
And congratulations to you and your wife, happy union.
We missed your videos and advice man, really good you are back online.
Really love to see you back. You come across as a really genuine individual and professional in the data space. I hope to learn more from you!
That's very kind - thank you!
Good to see you back! I've not been a long-time subscriber like most others have been but I've absolutely loved your videos. They've helped me in my data science MS program and in my current job. Thanks and keep up the good work!
Awesome! Thank you!
good to have you back!
Thank you! It’s been very fun to be back!
Congratulations.
I wish you a happy marriage.
It is nice to see you back!
Nice to see you back.
Great to see you back!!!
Great to be back!
Welcome back and congrats! Looking forward to new content. You say you've been using Python a lot lately and not R. How about Julia? Curious to hear what you think of recent developments there. And have you run into SciML by any chance or is that too far away from your core focus?
Excited for you and your future (videos for us)!
Glad to see you're back. This used to be the best channel on data science, and I'm excited about the new content!
This is great for the channel, I'm excited to see your new videos! 😀
Glad you are back
Thank you, glad you’re here!
He is baaaaaaccckkkkkkk
Welcome back!
You go girl!
I want to see more about data engineering on gcp on the channel
Hah... literally just uploaded a video on this very topic. Enjoy!
ur smart i believe u can go fur with this
Hi, am your new subscriber. Nice to meet you! 🌟
Likewise!
So after a year, do you prefer working with R or Python?
Depends what I'm doing. I'm a die-hard Shiny fan and prototype things incredibly quickly with R, though in a post-ChatGPT world that last piece is becoming increasingly obsolete. But these days for multiple reasons R isn't even a plausible option anymore, and I'm perfectly content with that.
Thanks Richard! Love your work. My work is mainly RND and interactive report generation and I love R for the reasons you just stated. I use reticulate where I need a python library. I have so many custom packages in R that jumping to python to recreate my packages just doesn't make sense at the moment.
long time Richard.Alot of changes
Welcome back.
Thank you!
Welcome back!