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 stars77.92%
- 4 stars13.81%
- 3 stars4.79%
- 2 stars1.91%
- 1 star1.53%
來自PYTHON DATA VISUALIZATION的熱門評論
It is more about python basics, nor data visualization exactly
At times a bit tough if you want to fully understand all parts of the "basics", but highly worth it
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
I went though all of the Specialization program and I totally recommend it. Awesome courses, the 4 of them, challenging projects and great material and classes from both Scott and Joe.
關於 Introduction to Scripting in Python 專項課程
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.