{for me : very helpful!}

Finished on 03/11/2018

Really good stuff.

excellent!, great

was really tough!

Excellent Course!

Very nice course!

awesome teaching

Excellent course

Really helpful

Cool Thanks))

Super useful!

super course

Excellent...

good course

good !

good!

This is an excellent course - extremely challenging but worth it. If you manage to get through all the projects and exercises, you will definitely acquire a deeper understanding of working with lists, dictionaries, and CSV files. I've taken all the courses in this specialization so far (this one is #3), and I'm very satisfied with how much I've learned. Both instructors are very thorough, and the challenges/projects are designed to make you think deeply and clearly about the material. It's often necessary to break the assigned problems down into smaller ones that you can work through one at a time. If you are comfortable with that (and with figuring out how to do it on your own), then these classes will pay huge dividends. That said, I gave the previous two classes 5 stars and this one 4. The reason for the lower rating for this installment is that the final project was MUCH harder than the material that preceded it. It wasn't impossible, but I found myself needing a lot of intermediary scaffolding that I got (mostly) from the discussion forums while I was working through the project. IMHO, the course would be better if some of that scaffolding (specifically the example challenges created by Patrick Dennis, one of the forum monitors) were actually included in the course. In any case, I got through it, and you will too if you are willing to push through some frustration and setbacks. It was well worth the trouble, and I am on to the final installment in this specialization. Thank you Profs. Rixner and Warren (and Patrick Dennis)!

This course was the hardest I have done so far in this specialization! Had to refer a lot to write the project code for week 4. Nonetheless, excellent course. This was the first time i have about the csv module. I would suggest people to take this course but make sure you are strong in dictionaries especially.

For foundation part to data analysis and concerning about it help me in the basic understanding.

Though with the pandas library make it simple that is some sort of drawback I find.

But it make my concept clear.

Thanks for the python Data Analysis course by Rice university.

Hi Team,

Thanks for giving me opportunity to learn this course.

The hard part here was to understand the week 3 and week 4 assignments, But i am feeling great for achieving in getting the expected results.

Thanks,

Rashmi Huddar

It is not hard to follow the week's subjects, videos are very explanatory. But final project was very complex for me as a very beginner. There should be more exercises in previous weeks to do final project better.

It is definitely helpful to dive into data analysis with python. You shouldn't expect much from instructions but the assignments given during the courses teach you to learn very much due to difficulty level.

Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.

This course is good and the instructors way of teaching is quite attractive and interactive. I have learnt a lot during this course.