學生對 Coursera Project Network 提供的 Build a Data Science Web App with Streamlit and Python 的評價和反饋

Great course

This course is the first course that I practiced in the project. I'm very impressed And enjoy it Although sometimes I won't keep up Both coding Including sitting and editing the code that you wrote But I enjoyed it I got a lot of knowledge from this project. Thank you for giving me the opportunity to study for free. And made a good project like this Thank you the author very much.

Very informational in a very short time. Gets you up and running without getting too bogged down with details. A good place to start on your journey of building a web front end with python ML.

Great Instructor and Nice content but the whole rhyme thing sucks it's so slow and sluggish that I can't explain and very difficult on laptops with problems in visibility.

The Streamlit library is fantastic the code examples were straight and to the point, the instructor communicated clearly while utilizing an interesting dataset.

Good course content and teaching methodology

Great introduction to Streamlit in python

great course and instructor !

Thank you.

How to build data science web

super

5+

good

Very detailed course, and loved that you don't need to instal any app, as other courses require to instal bulky apps, so loved using Rhyme platform!! At first, it was a bit annoying because I didn't know how to use it and sometimes the sound turned off automatically having to refresh the page, but I completely loved this way of learning! Also, being new at using Streamlit, I discovered how useful it is, understanding every bit of the code perfectly. Thank you so much!! Can't wait to join another Guided Project course!!:)

Course was great. Easy to follow. Not too complicated and introduced to Streamlit.

Instructor was also good!!!!

But Rhyme ( the VM software) was just too slow and laggy. Not sure if its a connectivity issue or simple cpu resources but definitely could have been way better.

To give an idea how laggy it was, I typed a whole sentence and waited 10 seconds before the cursor even moved. Obviously, the web app struggled even harder.

Nice and practical course for getting an idea of the Streamlit library and its capabilities, it's hard to believe that so much can be done in so little lines of code.

The instructor is pretty clear and goes straight to the point. You can see that he knows the subject and gives enough explanation without going too deep on unnecesary details. Would do another course from him with no hesitation.

A very good introduction to Streamlit. However you need to have good foundations with libraries like Pandas, Numpy and must read about PyDeck Maps. It would be great if they could give a detailed explanation for Mapping functions with PyDeck as there is not enough good documentation about that online. Overall a good learning experience ! :)

The instructor has provided all the information needed and had an engaging informative session and extremely happy that I enrolled for this guided project. I highly recommend everyone looking to do some data science projects with little or no knowledge at all !. Thank you Snehan Kekre and Coursera !.

I am a researcher.

Excellent course for beginners as well as experienced researchers from other fields (like environment, natural resources, energy and management). I will definitely recommend this to my friends and colleagues. Eagerly waiting to do more courses in this field.

I really enjoyed the online course. I thought it was well planned and layed out, easy for me to follow. The work load was just enough, so i could finish everything with enough time, learn about the topics and not feel over loaded and rushed.

The topic was so unique and I have learnt a new thing which will be very much useful for my future prodcuts related to data science and web development also as I loved Python this project was wondering new thing with python. Thank You !!!

Tutorial is easy to follow and the explanation is not too long.

Highly recommended for you data scientists who want to build a webapp without having to learn HTML and CSS

Great practical introduction! This project teaches you some powerful tools which by themselves already suffice to pursue various of your own projects by yourself.

Great course! It was a fun, interactive way to get started with streamlit for creating data science web apps and now I have a new tool in my data science toolbox!

Excellent project and hands on course to get started with streamlit and create a beautiful interactive web app.Instructor has been really fantastic.

Please make it possible to view the videos outside of Rhyme and along with that make a guide for setting up the project in local systems.