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学生对 Rice University 提供的 Python Data Analysis 的评价和反馈

4.7
891 个评分

课程概述

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....

热门审阅

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.

筛选依据:

101 - Python Data Analysis 的 125 个评论(共 152 个)

创建者 Kavita

Jul 21, 2020

Really helpful

创建者 Farhodjon A

Dec 14, 2018

Cool Thanks))

创建者 Yi-Hsuan L

Mar 5, 2018

Super useful!

创建者 Tanmoy K

Jan 29, 2023

ggoggood

创建者 Abhishek k G

Jun 6, 2021

Great course

创建者 Venkatesh K

Mar 1, 2021

Good content

创建者 Nandivada P E

Jun 12, 2020

super course

创建者 Abdul W

Aug 23, 2018

Excellent...

创建者 Dennis L

Jun 26, 2024

Tedious way

创建者 Silvio S

Aug 22, 2022

otimo curso

创建者 Archunan G

Nov 2, 2020

Good course

创建者 Kevin J

Jan 24, 2018

good course

创建者 sangil Y

Jun 15, 2018

good !

创建者 Vandanapu A

Sep 15, 2022

Good

创建者 Md. R Q S

Sep 14, 2020

great

创建者 JOON T C

Jan 24, 2018

good!

创建者 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)!

创建者 Komal

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.

创建者 Aravind R K

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.

创建者 Akshay K J

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.

创建者 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

创建者 Maximilian R

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.

创建者 Sinem A

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.

创建者 Jose P

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.

创建者 Ozgun K S

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.