Python Data Visualization: Dashboards with Plotly & Dash (Udemy.com)

What is shown is shown well. It is very basic but is nothing more than the plotly dash guides/tutorials on its own website. I was expecting more advanced approach, cloud deployment, ML apps, caching server side and browser side, an example of data connection (like an API, Bigjquery, etc) where caching is applied. Nevertheless, the basics are good.

I found the explanations clear and easy to follow. I think the course did a nice job of providing enough detail to allow me to make charts and design layouts for most ordinary cases. I feel that I have enough of a foundation to dive into the documentation to do more advanced work as the need arises. I would definitely take another course from this instructor.

I was looking for a quick yet comprehensive course that would show me how to use Plotly and Dash to build a user interface. This course is exactly that: it's not too long, but it teaches you everything you need to know to start your own project. It's definitely worth the money!

Really love the idea of combining both web development with Data Analysis or Data Science and i wish there was a Model Deployment Demo or a Project included , love open source and what custom Dashboards can provide and i am sure with more training on Projects that would be easy , also wish there was an authentication demo if you want to provide logins for your users , but overall i am pretty satsified with the course and what it provided 5 Stars, Thanks Chris and Maven Analytics Team , waiting for more courses from you

Good course, very practical. This course is about visualization, not data handling or pandas. While not super critical, you can get more out of this course if you feel comfortable coding in Python and using Pandas. The exercises were helpful and the final project really ties things together. I asked one question during the course, and it was answered quickly and professionally. Bottom line - I recommend this course to anyone who wants to learn Dash.

Instructor was very knowledgeable and able to get to the point. Audio clarity could be improved as i noticed instances where speeches were not so clear. In a nutshell, highly recommended if you want to learn more about Plotly and Dash!

Es wäre besser ein Miniprojekt durchzuziehen. Das hin und her gespringe zu verschiedenen Miniprojekten ist sehr verwirrend wenn man das zum ersten Mal macht. Es wäre auch toll, wenn jeweils der gesamt Code gezeigt würde und nicht nur Ausschnitte.

This is the 4th course of the Python series. I never really thought of building any Dashboards myself. To me this was the most challenging course as the callback functions with outputs and inputs are not very straight forward to understand. But it gave me a solid understanding what's happening behind the scenes on any webpage. It made me actually see how should I think in terms of creating the dash board. And creating the visuals is just the mechanic part of everything. The more challenging thing is to trying to understand what do you want to show your user and how to keep it simple. There is a big temptation to start adding all slicers, tabs, dropdown lists, checkbox into your dashboard but you should really stay focused on the main purpose - tell a story with your data. Also this encourages me learning more css and htlml to add more tools for further dashboards projects. I really enjoyed this course though didn't expect much in the beginning.

I was really struggling with building interactive dashboard using Plotly-Dash. This course is really helpful to understand how Dash app works and how we can visualize our data in a more efficient way. Thanks for creating this course.

This was an awesome course. I went into it wanting to learn how to work with Dash and Plotly to create web applications (surprise, considering the course name) and I was taught everything I needed to know to do exactly that. I usually take my own notes and write out the code I'm watching people work with so I learn better, but the notebooks included in the course materials have everything already put together in a great format. If you like watching and running the code later, you'll have everything you need. The final course project was a great exercise for me and I retained a lot more than I thought I had.