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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:

51 - Python Data Analysis 的 54 个评论(共 54 个)

创建者 Oleh M

Jun 22, 2019

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

创建者 Moustafa E E M M N

Dec 13, 2018

the assignments are not clearly illustrated to us. it is very difficult to understand what is required to be done . even it you code it, it is still hard to understand what is to be done.

创建者 Eduardo P

May 25, 2018

Final project is way more difficult than what they explain in the course.

Final project is not only difficult and long but also due to the amount of extra files and lack of explanation on how to start is very frustrating.

Some concepts like "list comprenhentions" are used by instructors in the course, but not explained and instructor just adviced to go to Python.org and learn it there.

创建者 Kristoffer H

Mar 30, 2018

Focuses on Python dictionary skills and not Pandas dataframes.