The most insteresting part about shiny is u have almost full control on your layout project, not just using python or R, u can also use HTML (for example) to costumize it. It's really usefull to show "how our project work" with various input of data. Thankyou verymuch Alex to teach us how to use it with python. U always teach us valuable insight :)
Hi Alex, Thank you for your video, which, as always, is awesome. Alex, I wanted to write to you through some means to deeply thank you for your work. Thanks to you and your recommedantions, I was able to find a job as a data analyst in the logistics sector without any background in the tech sector. I have been working for a while now, and it's a great job. As important as your recommendations on what skills to learn and in what order to do it were your words of motivation and your example of personal life to keep improving both professionally and personally. I was unemployed for 1 year, and it was a very difficult situation for me, but your videos reenergized me to keep going. You are a good guy, and I truly wish you all the best in your projects. Greetings from Venezuela, Simon Martinez.
Hey Alex, I just want to say, I graduated with my masters in Data Analytics this last Spring and I became so bored with it and disinterested by the end. It felt so linear and tedious. However, your videos sparked my love for it again. You have a unique way of making data interesting. Thank you for that
For an unsolicited reply, I'd say no, learning specifically Shiny isn't a mandatory skill to learn on your data analytics career roadmap. Broadly and simply, analytics is a role where you take raw data, clean it, explore it, analyze (apply stats and modeling to) it, and share your results/predictions with people who care. In that final step, sharing your results, you'll find it's important to have frameworks you're comfortable with to share your results in a reasonably polished format. That might be as simple as coalescing narrative & spreadsheet elements into a MS Word doc or google-doc, or making a dashboard with Tableau or PowerBI. Now, Shiny is really great if you find yourself using Python or R for your analytics. Shiny is a lovely framework to take your R or Python work and build interactive visualizations, dashboards or full interactive webapps all from the same code. That is, if you're already working in R or Python, Shiny is a lovely complement to get your analytics work into that final polished "sharing" state. So whether you should learn Shiny probably depends on whether or not building these kinds of webapps are a clear complement to the type of work you find yourself doing. (Full disclosure, I work at Posit PBC, who supports the core team that supports open source Shiny)
It would be helpful if a link to the "next video" was in this video's description.... But I gather that that next video is: ua-cam.com/video/zv1nfZTYpio/v-deo.html
The most insteresting part about shiny is u have almost full control on your layout project, not just using python or R, u can also use HTML (for example) to costumize it. It's really usefull to show "how our project work" with various input of data.
Thankyou verymuch Alex to teach us how to use it with python. U always teach us valuable insight :)
Hi Alex,
Thank you for your video, which, as always, is awesome.
Alex, I wanted to write to you through some means to deeply thank you for your work. Thanks to you and your recommedantions, I was able to find a job as a data analyst in the logistics sector without any background in the tech sector. I have been working for a while now, and it's a great job.
As important as your recommendations on what skills to learn and in what order to do it were your words of motivation and your example of personal life to keep improving both professionally and personally. I was unemployed for 1 year, and it was a very difficult situation for me, but your videos reenergized me to keep going.
You are a good guy, and I truly wish you all the best in your projects.
Greetings from Venezuela,
Simon Martinez.
Wow. This video dropped at the right time. Thanks Alex.
Hey Alex, I just want to say, I graduated with my masters in Data Analytics this last Spring and I became so bored with it and disinterested by the end. It felt so linear and tedious. However, your videos sparked my love for it again. You have a unique way of making data interesting. Thank you for that
I am currently learning data analysis from your bootcamp videos. Is it mandatory to learn these skills as well?
For an unsolicited reply, I'd say no, learning specifically Shiny isn't a mandatory skill to learn on your data analytics career roadmap.
Broadly and simply, analytics is a role where you take raw data, clean it, explore it, analyze (apply stats and modeling to) it, and share your results/predictions with people who care. In that final step, sharing your results, you'll find it's important to have frameworks you're comfortable with to share your results in a reasonably polished format.
That might be as simple as coalescing narrative & spreadsheet elements into a MS Word doc or google-doc, or making a dashboard with Tableau or PowerBI.
Now, Shiny is really great if you find yourself using Python or R for your analytics. Shiny is a lovely framework to take your R or Python work and build interactive visualizations, dashboards or full interactive webapps all from the same code. That is, if you're already working in R or Python, Shiny is a lovely complement to get your analytics work into that final polished "sharing" state.
So whether you should learn Shiny probably depends on whether or not building these kinds of webapps are a clear complement to the type of work you find yourself doing.
(Full disclosure, I work at Posit PBC, who supports the core team that supports open source Shiny)
@@PositPBC thanks for your reply. This gives me a clear understanding of it
Thanks 😊
It would be helpful if a link to the "next video" was in this video's description....
But I gather that that next video is: ua-cam.com/video/zv1nfZTYpio/v-deo.html