TL
Jul 7, 2020
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.
AK
Jun 9, 2020
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
By Loraine L
•May 2, 2020
Great course
By Aattawut N
•Jun 7, 2020
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.
By Kannan
•Jun 7, 2020
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.
By Taib L
•Jul 8, 2020
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.
By Nilesh K
•May 22, 2020
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.
By A S
•May 3, 2020
The Streamlit library is fantastic the code examples were straight and to the point, the instructor communicated clearly while utilizing an interesting dataset.
By Harit J
•May 3, 2020
Good course content and teaching methodology
By Mario C
•May 1, 2020
Great introduction to Streamlit in python
By T K
•May 3, 2020
great course and instructor !
Thank you.
By Yashwanth P
•Apr 27, 2020
How to build data science web
By Sairam R
•Apr 28, 2020
super
By Inna O
•May 7, 2020
5+
By SIDDHARTHA S B
•Apr 30, 2020
good
By Abhishek P
•Jun 8, 2020
I was really waiting to give my feedback for this project. 1. Instructor of this project is really good at explaining the codes and its purpose of use but he should elaborate more for better understanding. 2. They are using Rhyme platform for teaching, but seriously from now onwards I hate this Rhyme. Such a creep place where you will stick without any reason, and there is no place for your help that's why I get irritated in this project. 3. Rest all are good but their quiz question are just of kids level, This project was showing a level for intermediate skills but a noob with just 2 days of coding in data science project can give their answer, which also disappoints me a lot.
By Ratatosk
•Mar 3, 2021
don't waste your money
go work through the examples in the streamlit documentation instead
that way you can avoid using rhyme at all AND having to watch annoying videos
you'll also probably learn more
By Nick C
•Aug 16, 2020
Unfortunately the software did not work for me :(
By Chanseo P
•Sep 6, 2020
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!!:)
By Amir A
•Nov 18, 2020
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.
By Jhoan B
•Jul 11, 2020
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.
By Araz S
•Jul 14, 2020
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 ! :)
By Srinath B
•Sep 27, 2020
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 !.
By Abhishek P G
•Jun 15, 2020
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.
By Mahodar M
•Jun 4, 2020
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 !!!
By Arbiyan T K
•Jun 10, 2020
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
By Florian C
•May 19, 2021
Great practical introduction! This project teaches you some powerful tools which by themselves already suffice to pursue various of your own projects by yourself.