I have really resonated well with your teaching style. If you can produce more tutorials on data cleaning, creation of data pipelines(basically data engineering) that would have a substantial impact given that many content developers in this space are focused on model creation, we know that 80% of the time is spent in data cleaning. My two cents.
Trying to pick up R for my job (from a non-DS background) and getting so much out of these videos. Many lessons packed in and tips upon the rewatch since learning more - thank you for all the work you put into these ! 🙏🏼. Echoing the other commenters from this and other vids on your video and tutorial quality. Definitely my favorite tutorials on R that I’ve found!
Im an applied statistics student and these videos are AMAZING. In 17 minutes you summarised multiple classes worth of dplyr knowledge, hell, I even learned some new stuff even though I've been using this package for almost 2 years now. I've watched most of your videos and I'm going to redo some of my old assignments using the stuff I've learned from your channel to assimilate the new knowledge. Thank you a lot for your work!!!
Really nice video! I had used lubridate before but not the way you showed off in the video. Gonna have to keep this series bookmarked to go back to for ref.
hey, great video. BIG THANKS to all the work!! btw your [name] column in the MTV dataset seem to have leading and trailing space which may impact the inner join process. I used (strip.white=TRUE) when reading from the csv file, it seems working. again, really learned a lot from this fantastic tutorial video. really appreciate it : )
![Stromae, Pomme - “Ma Meilleure Ennemie” (from Arcane Season 2) [Official Visualizer]](http://i.ytimg.com/vi/1F3OGIFnW1k/mqdefault.jpg)
One of the best R videos I have ever watched. Thanks.
I have really resonated well with your teaching style. If you can produce more tutorials on data cleaning, creation of data pipelines(basically data engineering) that would have a substantial impact given that many content developers in this space are focused on model creation, we know that 80% of the time is spent in data cleaning. My two cents.
The way you teach this subject is very accessible!
Trying to pick up R for my job (from a non-DS background) and getting so much out of these videos. Many lessons packed in and tips upon the rewatch since learning more - thank you for all the work you put into these ! 🙏🏼.
Echoing the other commenters from this and other vids on your video and tutorial quality. Definitely my favorite tutorials on R that I’ve found!
Im an applied statistics student and these videos are AMAZING. In 17 minutes you summarised multiple classes worth of dplyr knowledge, hell, I even learned some new stuff even though I've been using this package for almost 2 years now. I've watched most of your videos and I'm going to redo some of my old assignments using the stuff I've learned from your channel to assimilate the new knowledge. Thank you a lot for your work!!!
Thanks, I’m glad I could help!
Thank you. Very informative and easy to understand.
Awsome insights! Thanks for sharing these videos ;)
Very clear explanation! Thank you so much!
Thanks for the videos, that really help, you're the best explaining, greetings from mexico :)
bro, these videos are really helpful. please keep uploading
Really nice video! I had used lubridate before but not the way you showed off in the video. Gonna have to keep this series bookmarked to go back to for ref.
Fantastic video as always. Keep up the good work!
This tutorial can probably cover 3-4 classs
Good stuff dude! Very helpful video, you know your stuff!
Really fortunate to have stumbled on your channel, nicely explained :)
Great vid!
hey, great video. BIG THANKS to all the work!! btw your [name] column in the MTV dataset seem to have leading and trailing space which may impact the inner join process. I used (strip.white=TRUE) when reading from the csv file, it seems working. again, really learned a lot from this fantastic tutorial video. really appreciate it : )
This. How did everyone else miss this??
clear, simple and useful, just thanks :)
Thank you
Excellent video, very helpful and clear. Planning the next video?
Yep, planning for the next video! Not sure what the topic will be though yet.
I love you
awesome, thanks man. Can you do some python tutorials as well, on predictive modeling?
Yeah definitely trying to do some Python tutorials soon
@@dataslice awesome, im looking forward to it! your vids have helped me improve in my job
The way you have expained is very good but please go slow.