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.
About this Course
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 stars78.13%
- 4 stars13.68%
- 3 stars4.75%
- 2 stars1.90%
- 1 star1.52%
TOP REVIEWS FROM PYTHON DATA VISUALIZATION
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
A challenging and rewarding specialization - thank you Joe and Scott!
It is more about python basics, nor data visualization exactly
Really enjoyed the class and the specialization. Reading data from csv files, then displaying it graphically, tied it all together very well.
About the Introduction to Scripting in Python Specialization
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.
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