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Learner Reviews & Feedback for Python Data Analysis by Rice University

4.7
stars
880 ratings

About the Course

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer....

Top reviews

AS

May 15, 2020

One of the best course in this specialization. It was really interesting work with some real world data which could really enhance the problem solving skills.

NL

Jul 6, 2021

Great programming practice, especially the project for week4. I am more comfortable with lambda now. I am much more helpful to my son in Python classes.

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101 - 125 of 150 Reviews for Python Data Analysis

By Yi-Hsuan L

•

Mar 5, 2018

Super useful!

By Tanmoy K

•

Jan 29, 2023

ggoggood

By Abhishek k G

•

Jun 6, 2021

Great course

By Venkatesh K

•

Mar 1, 2021

Good content

By Nandivada P E

•

Jun 12, 2020

super course

By Abdul W

•

Aug 23, 2018

Excellent...

By Silvio S

•

Aug 22, 2022

otimo curso

By Archunan G

•

Nov 2, 2020

Good course

By Kevin J

•

Jan 24, 2018

good course

By sangil Y

•

Jun 15, 2018

good !

By Vandanapu A

•

Sep 16, 2022

Good

By Md. R Q S

•

Sep 14, 2020

great

By JOON T C

•

Jan 24, 2018

good!

By Byron E

•

May 21, 2020

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)!

By Komal K S

•

Oct 23, 2020

This course content was good. I learnt how to read and write from CSV file. Unfortunately, the difficulty level suddenly increases as compared to first half of this course and previous courses in this category by RICE. Compared to what was taught in the videos, the final project seemed very complex. It would have been better if the description of the final project was a bit more clear. But I did learn a lot and learnt how frustrating coding can be so! Also, I really like the 2 instructors of this course. They make the concepts pretty clear.

By Aravind R K

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Aug 8, 2020

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.

By Akshay K J

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Aug 6, 2018

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.

By Rashmi H

•

Apr 17, 2020

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

By Maximilian R

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Jan 6, 2023

Overall good course. They could have chosen a more approachable topic for the final assignment. The greatest task was understanding what is actually going on instead of figuring out the coding. Still, a worth the time.

By Sinem A

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Mar 30, 2020

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.

By Jose P

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Sep 27, 2022

Execellent course. Only issue I had was understanding what some of the project fucntions were expecting as the input. In a lot of cases I had to submit the OWL test to understand what type of input was expected.

By Ozgun K S

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Jul 30, 2020

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.

By Amit C

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Sep 12, 2020

This course requires a lot of practice to be able to solve the project. Overall, i feel the practice was a bit less and the final project required a steep learning curve

By Md. T R

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May 18, 2020

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.

By Piotr K

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Oct 21, 2021

The final project was demanding not due to programming, but due to the idea of "code refactoring" and unclear dependencies on csv files.