This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.
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 stars77.99%
- 4 stars13.70%
- 3 stars4.82%
- 2 stars1.93%
- 1 star1.54%
来自PYTHON DATA VISUALIZATION的热门评论
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
Great introduction to Python visualizations. The assignments are challenging but relevant and echo real world problems you might encounter.
It has been a while since I programmed. however, throughly enjoyed the depth of the course
Anyone serious about learning real production techniques and fundamentals should take this course. Top3 on MOOC
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.