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学生对 莱斯大学 提供的 Python Data Analysis 的评价和反馈

4.7
331 个评分
54 个审阅

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

DP

Jul 07, 2018

The instructors use very clear language and explains in a details level that is possible to everyone that has a minimum of computing science knowledge to learn Python.

J

Jan 30, 2019

Important concepts covered - including dictionaries and data structures. Useful in developing a basic foundation and understanding of Python.

筛选依据:

26 - Python Data Analysis 的 50 个评论(共 53 个)

创建者 Yi-Hsuan L

Mar 05, 2018

Super useful!

创建者 Chujie C

Jul 05, 2018

Finished on 03/11/2018

创建者 Tristan D H

Jun 08, 2018

A challenging, but well constructed sequel to the rest of the sequence.

创建者 ADYA S

Mar 03, 2018

Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.

创建者 Li B

Feb 08, 2018

Great practice materials!

创建者 David P

Jul 07, 2018

The instructors use very clear language and explains in a details level that is possible to everyone that has a minimum of computing science knowledge to learn Python.

创建者 Peter D

Dec 27, 2017

Excellent course that covers a good balance of Python fundamentals and problem solving skills.

Highly recommended.

创建者 Hao-Wen S

Jan 01, 2018

Excellent! I previously completed the Fundamentals of Computing Specialization from the same instructors, yet there was ample new content in this course. This course focuses on techniques for dealing with tabular data, which are represented as nested arrays (list of lists, dictionary of dictionaries, list of dictionaries) using map, filter, lambda, list / dictionary comprehensions and the csv module for loading and saving csv files. The final project is rewarding, requiring relatively little code but a clear understanding of the underlying data structures.

Compared to the Fundamentals of Computing specialization (which later moves towards developing efficient algorithms), the series so far seems to be geared towards developing practical skills for applying Python for data science. Very rewarding.

创建者 JIN W

Jan 25, 2018

good course

创建者 JOON T C

Jan 24, 2018

good!

创建者 Yue Z

Jun 26, 2018

Good course! I am a beginner and I learned a lot through this course.

创建者 EDILSON S S O J

Jan 07, 2018

Very nice course!

创建者 Sangil Y

Jun 15, 2018

good !

创建者 Frank S

Dec 12, 2017

Challenging Assignments and excellent instructors. Great course.

创建者 Arjit Y

Jul 27, 2018

Great teachers I must say!

Learned many new things and cool teachers!

创建者 Charles H

May 26, 2019

Excellent Course!

创建者 KEYU X

Jun 16, 2019

This is a very good course. You will feel very satisfying when you complete the final project. Maybe the only thing I want to complain about is that the statement and signature of the project are not so clear and a little bit confusing. It takes me some time to figure out the requirement.

创建者 Jacob G

Jan 15, 2019

Instructions on the final were not as clear as the rest of the course, but the information given is worthwhile

创建者 Akshay K J

Aug 06, 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 Peter

May 11, 2019

A tough course (not for the fainted of heart). I love baseball and the application of the baseball data is useful for me !

创建者 Ankit J

Jun 24, 2019

this is quite difficult and very hard than the last one

创建者 Dev N P

Sep 04, 2019

This course is great one to provide you the fundamental concepts of python scripting.

创建者 Andrew M

Feb 02, 2018

I feel like this course needs a lot of polish. The practice assignments in particular are riddled with horrible grammatical errors that make it hard to figure out what is being asked of you, especially when the author seems to be trying to be overly concise in their explanations. There's also too much reliance of documentation research. It felt like every assignment just told me to read page after page of documentation and figure out what parts were relevant on my own. Documentation research is obviously an important skill, but telling a student to learn an entirely new skill like color mapping based purely on documentation, and not telling them what parts of the documentation to focus on verges on cruel. I've never felt as frustrated with an assignment as I did with several in this course. The way the assignments were designed also made them very hard to test. The disconnect between the practice assignments and the graded assignments also caused a lot of issues with regards to flow. It feels like two courses were smashed together, one of which was fairly well built, the other of which was very much not.

My comments mostly pertain to the practice assignments. I thought the graded assignments were pretty good.

创建者 Mads J K H

Mar 28, 2018

Could use a bit more explanation on some parts since visualization of e.g. dictionaries can be a bit tedious.

Otherwise good.

创建者 Oleh M

Jun 22, 2019

A very sharp combination of the basics on lectures and algorithms in practice.