Rice University - Python Data Visualization
4.5 /5- Offered byCoursera
Python Data Visualization at Coursera Overview
Duration | 9 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Python Data Visualization at Coursera Highlights
- 12% started a new career after completing these courses.
- 12% got a tangible career benefit from this course.
- Earn a shareable certificate upon completion.
Python Data Visualization at Coursera Course details
- 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.
- By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
Python Data Visualization at Coursera Curriculum
Week 1
Welcome!
Class Structure
Using Python Documentation
Writing Documentation
Python Built-in Modules
Installing Packages in Thonny
Code Reuse
Practice Project: Drawing a USA Map in matplotlib
Documentation
Week 2
Python Packages and Modules
Importing Your Own Code
Line Plots with Pygal
Installing Packages using PIP - Part 1
Installing Packages using PIP - Part 2
Project 1 Video
Practice Project: Extracting Data from an SVG File
Project Description: Creating Line Plots of GDP Data
OwlTest: Automated Feedback and Assessment
Week 3
Python Sets
Analyzing the Efficiency of Your Code
Comparing Two Methods for Joining CSV Files
Project 2 Video
Hashing
Practice Project: Reconciling Cancer-Risk Data with the USA Map
Project Description: Plotting GDP Data on a World Map - Part 1
Week 4
Growing as a Scripter
Project 3 Video
Wrapup Video
Version Control
Practice Project: Visualizing Cancer-risk Data on the USA Map
Project Description: Plotting GDP Data on a World Map - Part 2
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