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.
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
- 5 stars76.61%
- 4 stars16.10%
- 3 stars5.25%
- 2 stars1.19%
- 1 star0.83%
来自PYTHON DATA ANALYSIS的热门评论
Overall, this is a great course, However, used baseball as the theme of the final project is really not a good idea!
One of the best courses on data analysis in python. It was a deep dive into the basics. More than the course videos, i enjoyed the assignments more.
It's fantastic learning opportunity, well taught, covered almost everything.Baseball project is cherry on the cake.
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.
关于 Introduction to Scripting in Python 专项课程
Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.