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

851 个评分


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....



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.


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.


1 - Python Data Analysis 的 25 个评论(共 143 个)

创建者 Bradley S

Feb 15, 2019

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Dec 21, 2018

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Apr 23, 2021

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Jun 15, 2019

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Dec 16, 2020