This is a free preview video from the Get a Remote Data Science Job LinkedIn Learning Course: www.linkedin.com/learning/get-a-remote-data-science-job/becoming-a-remote-data-scientist
Thank you for the advice. I was thinking about writing a blog related to DS but am stuck in whether to use a CMS like Wordpress, Wix etc or to make a site from scratch with Django. I do have some basic experience with Django. What would you recommend?
Well I think having a blog can be a big part of your data science portfolio: towardsdatascience.com/how-to-build-a-data-science-portfolio-5f566517c79c If you are trying to have a job that shows you can build websites, I would for sure use Django. Honestly, I would advise you get started and try different options. The worst thing would be not to blog because you are thinking about options.
Thank you for the video! I have a question about R though. In the code: NEI[, Emissions := lapply(.SD, as.numeric), .SDcols = c("Emissions")] What is the .SD? And how to use it?
I'm a data science freshman and this was very insightful, thank you for this and keep making more. I came to you're channel through github. Could you make a playlist of some sort where you explain the ML stanford course assignments. I understand ML the concept but really struggle with the implementation part. So if that's possible than it be of great value for me and other as well.
Thanks for reaching out! Don't worry so much about the implementation part as I believe most of those assignments are in matlab which is a lot less widely used than when that course was made. Try implementing algorithms in Python, much more practical (certificates are not so useful for the job market, but doing the courses helps you learn which is useful). Also my work is hosting a free conference on scalable machine learning and python: bit.ly/3uq5R4a There will be people speaking from Google, CMU, Microsoft, Berkeley, McKinsey, IBM, etc. It is free to register! It might be a good place for you to learn some problems industry and academia are trying to solve.
Hello, your videos are very useful, thank you very much for this. I want to ask you something. I am new to data science and I need to do wind analysis. I need to do Chi-square test with 200000 data, I need to calculate Anova and draw a wind profile. Can you help me with this?
This is a free preview video from the Get a Remote Data Science Job LinkedIn Learning Course: www.linkedin.com/learning/get-a-remote-data-science-job/becoming-a-remote-data-scientist
Michael, what do you think about using WordPress? I'm considering it in order to name my own site and control the content.
Wordpress works! Owning your own site and controlling the content is a good idea. Not controlling the content has burned many a creator in the past.
Wow thanks for tips
Happy to help!
Thank you for the advice. I was thinking about writing a blog related to DS but am stuck in whether to use a CMS like Wordpress, Wix etc or to make a site from scratch with Django. I do have some basic experience with Django. What would you recommend?
Well I think having a blog can be a big part of your data science portfolio: towardsdatascience.com/how-to-build-a-data-science-portfolio-5f566517c79c
If you are trying to have a job that shows you can build websites, I would for sure use Django. Honestly, I would advise you get started and try different options. The worst thing would be not to blog because you are thinking about options.
You can also use an SSG like Gatsby
@@stanleyliu5606 Sure. I'll give it a try.
Thank you for the video! I have a question about R though. In the code: NEI[, Emissions := lapply(.SD, as.numeric), .SDcols = c("Emissions")] What is the .SD? And how to use it?
Send me the part or piece of code I wrote from where and I will answer the question? Was it from a gist or github link I wrote and if so which one?
@@MichaelGalarnyk yes sorry, it is the exploratory analysis with R (coursera) assignement 2, plot1 (but the other one as well)
I'm a data science freshman and this was very insightful, thank you for this and keep making more. I came to you're channel through github. Could you make a playlist of some sort where you explain the ML stanford course assignments. I understand ML the concept but really struggle with the implementation part. So if that's possible than it be of great value for me and other as well.
Thanks for reaching out! Don't worry so much about the implementation part as I believe most of those assignments are in matlab which is a lot less widely used than when that course was made.
Try implementing algorithms in Python, much more practical (certificates are not so useful for the job market, but doing the courses helps you learn which is useful).
Also my work is hosting a free conference on scalable machine learning and python: bit.ly/3uq5R4a
There will be people speaking from Google, CMU, Microsoft, Berkeley, McKinsey, IBM, etc. It is free to register! It might be a good place for you to learn some problems industry and academia are trying to solve.
Hello, your videos are very useful, thank you very much for this. I want to ask you something. I am new to data science and I need to do wind analysis. I need to do Chi-square test with 200000 data, I need to calculate Anova and draw a wind profile. Can you help me with this?