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Volver a Python Data Analysis

Python Data Analysis, Universidad Rice

4.7
278 calificaciones
47 revisiones

Acerca de este Curso

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....

Principales revisiones

por 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.

por J

Jan 30, 2019

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

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46 revisiones

por Sebastian Ramirez Solano

Feb 19, 2019

Awesome course. Challenging final project.

por Rodrigo Beleza Marques

Feb 18, 2019

Excellent course! Great material, challenging exercises.

por Bradley Sebastian

Feb 15, 2019

Overly simplistic lessons and quizzes followed by brutal projects that require you to teach yourself techniques not covered in the lessons. Now I don't feel like I've learned anything because I've just had to trial-error my way through half the code. What worked, what didn't work? I can't remember...

por Joanne Hui Ping CHAN

Jan 30, 2019

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

por Jacob Goldberg

Jan 15, 2019

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

por vivek

Jan 15, 2019

Course was excellent . Loved learning it

por 林晉宇

Jan 10, 2019

Very good course, instructor presented it well.

por Abdurahmonov Abdullokh

Jan 08, 2019

Thanks for materials and course!!!

por Nicholas Strömblad

Dec 21, 2018

I really liked the course, thank you so much!

One thing though, when checking your code via OwlTest, and the Pylint errors that pops up, consider removing the check with mixed EOL characters (CRLF / LF). At least on my system I could not fix this Pylint error on Windows. I had to re-save the file in UNIX (DOS-format).

por Farhodjon Abdukodirov

Dec 15, 2018

Cool Thanks))