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Learner Reviews & Feedback for Python Data Analysis by Rice University
885 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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151 - 152 of 152 Reviews for Python Data Analysis
By Danny C
•Oct 29, 2023
the learning videos are somewhat basic but projects are way more complicated, not necessarily the coding but trying to figure out what they are looking for like they make it confusing for you. But once you decipher what they want, the coding is not that bad.
By Chen A
•Jul 21, 2020
作业链接打不开