Course Summary
This course teaches the fundamentals of data visualization using Python. Students will learn how to create meaningful and visually appealing graphs and charts using popular Python libraries such as Matplotlib and Seaborn.Key Learning Points
- Learn how to create various types of plots and visualizations using Python
- Understand the principles of effective data visualization
- Explore different Python libraries for data visualization
Related Topics for further study
Learning Outcomes
- Create various types of plots and visualizations using Python libraries
- Understand the principles of effective data visualization
- Communicate insights effectively through visualizations
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Python programming
- Understanding of data types and structures
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Hands-on assignments
- Quizzes and assessments
Similar Courses
- Data Visualization with Tableau
- Data Visualization with D3.js
Related Education Paths
Notable People in This Field
- Edward Tufte
- Nathan Yau
Related Books
Description
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.
Outline
- 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
Summary of User Reviews
Learn Python Visualization with Coursera - A comprehensive course that teaches you how to create compelling visualizations using Python. Students praise this course for its engaging content, easy-to-follow lectures, and practical assignments.Pros from User Reviews
- Clear and concise lectures
- Interesting content and material
- Practical assignments that reinforce learning
- Great introduction to Python visualization
- Excellent support from instructors and community
Cons from User Reviews
- Some may find the course a bit too basic
- Not enough advanced topics covered
- No real-world projects or case studies
- Some technical issues with the platform
- Could use more hands-on exercises
Scott Rixner
4.7 Raiting
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